Processing of continuous pressure-related signals derivable from a human or animal body or body cavity: methods, devices and systems

• US 20060047201A1
• Filed: 07/21/2004
• Published: 03/02/2006
• Est. Priority Date: 07/21/2004
• Status: Active Grant

• Current Assignee: Dpcom As
• Original Assignee: Dpcom As
• Inventors: Eide, Per Kristian
• Granted Patent: US 7,635,338 B2
• Time in Patent Office: Days
• US Class Current: 600/485
• CPC Class Codes: A61B 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/02108 from analysis of pulse wave characteristics
• CPC Class Codes: A61B 5/031 Intracranial pressure
• CPC Class Codes: A61M 27/006 Cerebrospinal drainage; Accessories therefor, e.g. valves

Abstract

A method for processing pressure signals derived from locations inside or outside a human or animal body cavity. Different aspects relate to a method for optimal differentiating between cardiac beat- and artifact-induced pressure waves, a method for obtaining new and improved information from the pressure signals, and methods for predicting pressures inside a body or body cavity from pressure-related signals derivable from outside the body or body cavity. Devices and a system for sensing continuous pressures signals and displaying output of processing according to method. Other features related to aspects of draining fluid from a brain or spinal fluid cavity.

Claims

1. A method for processing continuous pressure-related signals derivable from locations inside or outside a human or animal body or body cavity, comprising the steps of obtaining samples of said signals at specific intervals, and converting thus sampled pressure signals into pressure-related digital data with a time reference,

wherein for selectable time sequence windows the method comprises the further steps of:

a) identifying from said digital data single pressure waves related to cardiac beat-induced pressure waves,

b) identifying from said digital data pressure waves related to artifacts or a combination of artifacts and cardiac beat-induced pressure waves,

c) computing parameters selected from one or more of the list of;

c1) single pressure wave (SW.x)-related parameters during individual of said time sequence windows

c2) delta single pressure wave (Δ

SW.x)-related parameters between subsequent single pressure waves (n−

1;

n) within said time sequence windows,

said subsequent single pressure waves (n−

1;

n) representing a current single pressure wave SW[n].x in time n subtracted from the previous SWF[n−

1].x in time n−

1 of said individual time sequence window,

c3) time sequence (TS.x)-related parameters of said single pressure waves during individual of said time sequence windows,

c4) delta time sequence (Δ

TS.x)-related parameters between subsequent time sequence windows (n−

1;

n) of said individual time sequence windows,

said subsequent time sequence windows (n−

1;

n) representing a current time sequence window TS[n].x in time n subtracted from the previous TS[n−

1].x in time n−

1 of said individual time sequence window,

d) determining criteria for thresholds and ranges of parameters selected from one or more of the list of;

d1) single pressure wave (SW.x)-related parameters of said single pressure waves during said time sequence windows, d2) delta single pressure wave (Δ

SW.x)-related parameters between subsequent of said single pressure waves during said time sequence windows,

d3) time sequence (TS.x)-related parameters of said single pressure waves during said time sequence windows,

d4) delta time sequence (Δ

TS.x)-related parameters between subsequent time sequence windows, and

e) using said criteria for thresholds and ranges in step d) to provide optimal differentiating between single pressure waves caused by cardiac beat-induced pressure waves and pressure waves caused by artifact-induced pressure waves or a combination thereof.

2. A method according to claim 1, wherein each of said samples contains a pressure value at a specific time.

3. A method according to claim 1, wherein a pressure signal refers to a number of sequential and variable pressure-related samples during a time period.

4. A method according to claim 1, wherein each of said selectable time sequence windows is a selected time frame of said pressure-related digital data with a time reference.

5. A method according to claim 4, wherein said selected time frame lies in the range 5-15 seconds.

6. A method according to claim 1, wherein each of said selectable time sequence windows is related to a number of time-related sequential pressure samples, each sample referenced by a sample number and elapsed time determined by sample location number and sample frequency.

7. A method according to anyone of claim 1, wherein the method is applied to each of said selectable time sequence windows in a continuous series of said time sequence windows during a recording.

8. A method according to claim 1, wherein said identifying steps a) and b) include identification of peaks and valleys in said sampled signal.

9. A method according to claim 8, wherein each of said peaks is a sample with a pressure value and a time stamp or location, and each of said valleys is a sample with a pressure value and a time stamp or location.

10. A method according to claim 1, wherein said identifying steps a) and b) include identification of included pair combinations of peaks and valleys in said sampled signal.

11. A method according to claim 1, wherein said identifying steps a) and b) include identification of included pair combinations of valleys and peaks in said signal corresponding to included pair combinations of diastolic minimum pressure (SW.P_min1) and systolic maximum pressure (SW.P_max), characterizing single pressure waves created by the cardiac beat-induced pressure waves.

12. A method according to claim 1, wherein said computing step c) includes determining at least one of the single pressure wave (SW.x)-related parameters according to c1) during said selected time sequence windows, said parameters selected from the group of:

c1.1) starting diastolic minimum pressure defining the start of the single pressure wave (SW.P_min1),

c1.2) ending diastolic minimum pressure defining the end of the single pressure wave (SW.P_min2),

c1.3) systolic maximum pressure of the single pressure wave (SW.P_max),

c1.4) amplitude of the single pressure wave (SW.dP),

c1.5) latency of the single pressure wave (SW.dT),

c1.6) rise time coefficient of the single pressure wave (SW.RT),

c1.7) wave duration of the single pressure wave (SW.WD),

c1.8) mean single wave pressure of the single pressure wave (SW.Mean_SWP), and

c1.9) diastolic minimum pressure difference of the single pressure wave (SW.Diff_P_min).

13. A method according to claim 12, wherein parameter c1.2) of the ending diastolic minimum pressure defines an end of a first single pressure wave (SW.P_min2) which is same as starting diastolic minimum pressure defining the start of the subsequent second single pressure wave (SW.P_min1).

14. A method according to claim 12, wherein parameter c1.2) of the ending diastolic minimum pressure defines an end of a first single pressure wave (SW.P_min2) which is not the same as starting diastolic minimum pressure defining the start of the subsequent second single pressure wave (SW.P_min1).

15. A method according to claim 12, wherein parameter c1.4) of said single pressure wave amplitude=SW.dP equals systolic maximum pressure value (SW.P_max.Value) minus starting diastolic minimum pressure value (SW.P_min1.Value).

16. A method according to claim 12, wherein feature c1.5) of said single pressure wave latency=SW.dT equals time duration from starting diastolic minimum pressure (SW.P_min1.Location) to reaching systolic maximum pressure (SW.P_max.Location).

17. A method according to claim 12, wherein feature c1.6) of said single pressure rise time coefficient (SW.RT) relates to the relationship between feature c1.4) of amplitude (SW.dP) and feature c1.5) of latency (SW.dT).

18. A method according to claim 12, wherein feature c1.7) of wave duration (SW.WD) for each individual of said single pressure waves relates to the time duration between feature c1.1) of the starting diastolic minimum pressure (SW.P_min1) and feature c1.2) of ending diastolic minimum pressure (SW.P_min2).

19. A method according to claim 12, wherein feature c1.8) of mean single wave pressure (SW.Mean_SWP) for each individual of said single pressure waves relates to absolute mean pressure during the time of the wave duration, i.e. from feature c1.1) of starting diastolic minimum pressure (SW.P_min1) to feature c1.2) of ending diastolic minimum pressure (SW.P_min2).

20. A method according to claim 12, wherein feature c1.8) of mean pressure for an individual single pressure wave (SW.Mean_SWP) is the sum of sample values within said pressure wave divided by numbers of samples.

21. A method according to claim 12, wherein feature c1.9) of diastolic minimum pressure difference (SW.Diff_P_min) relates to pressure difference between starting and ending diastolic minimum values (SW.P_min1 versus SW.P_min2) of one individual of said single pressure waves.

22. A method according to claim 1, wherein said computing step c) includes determining at least one of the delta single pressure wave (Δ

SW.x)-related parameters according to c2) during said selected time sequence windows, said parameters selected from the group of;

c2.1) systolic maximum pressure difference between two subsequent single pressure waves (Δ

SW.Diff_P_max),

c2.2) amplitude difference between two subsequent single pressure waves (Δ

SW.Diff_dP),

c2.3) latency difference between two subsequent single pressure waves (Δ

SW.Diff_dT),

c2.4) rise time coefficient difference between two subsequent single pressure waves (Δ

SW.Diff_RT),

c2.5) wave duration difference between two subsequent single pressure waves (Δ

SW.Diff_WD), and

c2.6) mean single wave pressure difference between two subsequent single pressure waves (Δ

SW.Diff_Mean_SWP).

23. A method according to claim 22, wherein feature c2. 1) of systolic maximum pressure difference (Δ

SW.Diff_P_max) relates to pressure difference between systolic maximum pressure (SW.P_max) values of two subsequent of said single pressure waves.

24. A method according to claim 22, wherein feature c2.2) of amplitude difference (Δ

SW.Diff_dP) relates to difference in single pressure wave amplitudes (SW.dP) of two subsequent of said single pressure waves.

25. A method according to claim 22, wherein feature c2.3) latency difference (Δ

SW.Diff_dT) relates to difference in single pressure wave latency (SW.dT) of two subsequent of said single pressure waves.

26. A method according to claim 22, wherein feature c2.4) of rise time coefficient difference (Δ

SW.Diff_RT) relates to difference in single pressure wave rise time coefficient (SW.RT) of two subsequent of said single pressure waves.

27. A method according to claim 22, wherein feature c2.5) of wave duration difference (Δ

SW.Diff_WD) relates to difference of wave duration (SW.WD) between two subsequent of said single pressure waves.

28. A method according to claim 22, wherein feature c2.6) of mean single wave pressure difference (Δ

SW.Diff_Mean_SWP) relates to difference of mean single wave pressure (Mean_SWP) between two subsequent of said single pressure waves.

29. A method according to claim 1, wherein said computing step c) includes determining at least one of the time sequence (TS.x)-related parameters according to c3) during said individual time sequence windows, said parameters selected from the group of:

c3.

     1) mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

c3.2) standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

c3.3) mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

c3.4) standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

c3.5) mean amplitude of a time sequence window (TS.MeandP),

c3.6) standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

c3.7) mean latency of a time sequence window (TS.MeandT),

c3.8) standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

c3.9) mean rise time coefficient of a time sequence window (TS.MeanRT),

c3.10) standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

c3.11) mean wave duration of a time sequence window (TS.MeanWD),

c3.12) standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

c3.13) mean single wave pressure of a time sequence window (TS.Mean_SWP),

c3.14) standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

c3.15) mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

c3.16) standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

c3.17) mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

c3.18) standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

c3.19) mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

c3.20) standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

c3.21) mean latency difference of a time sequence window (TS.MeanDiff_dT),

c3.22) standard deviation of mean latency difference of a time sequence window (TS.MeanDiff dT_STD),

c3.23) mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

c3.24) standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

c3.25) mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

c3.26) standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

c3.27) mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

c3.28) standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

c3.29) numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

c3.30) mean wave amplitude of a time sequence window computed according to a first matrix (TS.MeanWavedP),

c3.31) mean wave latency of a time sequence window computed according to a first matrix (TS.MeanWavedT),

c3.32) mean wave rise time coefficient of a time sequence window computed according to a second matrix (TS.MeanWaveRT).

30. A method according to claim 29, wherein feature c3.5 of mean amplitude of said time sequence window (TS.MeandP) is the sum of amplitude (SW.dP) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

31. A method according to claim 29, wherein feature c3.7 mean latency of said time sequence window (TS.MeandT) is the sum of latency (SW.dT) values for all individual single pressure waves during said time sequence window divided by the numbers of said individual single pressure waves during said individual time sequence window.

32. A method according to claim 29, wherein feature c3.9 of mean rise time coefficient of said time sequence window (TS.MeanRT) is the sum of mean rise time coefficient (SW.RT) values for all individual single pressure waves during said time sequence window divided by the numbers of said individual single pressure waves during said individual time sequence window.

33. A method according to claim 29, wherein feature c3.11 of mean wave duration during said time sequence window (TS.MeanWD) is the sum of wave duration (SW.WD) values for all individual single pressure waves during said time sequence window divided by the numbers of said individual single pressure waves during said individual time sequence window.

34. A method according to claim 29, wherein feature c3.13 of mean single wave pressure of said time sequence window (TS.Mean_SWP) is the sum of absolute mean pressure i.e. related to wave duration extending from SW.P_min1 to SW.P_min2 (SW.Mean_SWP), for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

35. A method according to claim 29, wherein feature c3.30 of mean wave amplitude during said time sequence window (TS.MeanWavedP) is computed according to the first matrix as balanced position in said first matrix of number of occurrences of amplitude (SW.dP) and latency (SW.dT) values for all individual single pressure waves during said individual time sequence window.

36. A method according to claim 29, wherein feature c3.31 of mean wave latency during said time sequence window (TS.MeanWavedT) is computed according to the first matrix as balanced position in said first matrix of number of occurrences of amplitude (SW.dP) and latency (SW.dT) values for all individual single pressure waves during said individual time sequence window.

37. A method according to claim 29, wherein feature c3.32 of mean wave rise time coefficient during said time sequence window (TS.MeanWaveRT) is computed according to the second matrix as balanced position in said second matrix of number of occurrences of rise time coefficient values (SW.RT) for all individual single pressure waves during said individual time sequence window.

38. A method according to claim 1, wherein said computing step c) includes determining at least one of the delta time sequence (Δ

TS.x)-related parameters according to c4) between subsequent time sequence windows of said individual time sequence windows, said parameters selected from the group of;

c4.1) difference of mean values of starting diastolic minimum pressures between two subsequent time sequence windows (Δ

TS.MeanP_min1),

c4.2) standard deviation of difference of mean values of starting diastolic minimum pressures of two subsequent time sequence windows (Δ

TS.MeanP_min1—

STD),

c4.3) difference of mean values of systolic maximum pressure between two time sequence windows (Δ

TS.MeanP_max),

c4.4) f standard deviation of difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max—

STD),

c4.5) difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

c4.6) standard deviation of difference of mean amplitudes between two subsequent time sequence windows (Δ

TS.MeandP_STD),

c4.7) difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

c4.8) standard deviation of difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT_STD),

c4.9) difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT),

c4.10) standard deviation of difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT_STD),

c4.11) difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD),

c4.12) standard deviation of difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD_STD),

c4.13) difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_SWP),

c4.14) standard deviation of difference of mean single wave pressure of two subsequent time sequence windows (Δ

TS.Mean_SWP_STD),

c4.15) difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min),

c4.16) standard deviation of difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min—

STD),

c4.17) difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max),

c4.18) standard deviation of difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max—

STD),

c4.19) difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP),

c4.20) standard deviation of difference of mean amplitude difference between two subsequent ime sequence windows (Δ

TS.MeanDiff_dP_STD),

c4.21) difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT),

c4.22) standard deviation of difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT_STD),

c4.23) difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT),

c4.24) standard deviation of difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT_STD),

c4.25) difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD),

c4.26) standard deviation of difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD_STD),

c4.27) difference of mean single wave pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP),

c4.28) standard deviation of difference of mean SW pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP_STD),

c4.29) difference of single wave count between two subsequent time sequence windows (Δ

TS.SWCount),

c4.30) difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

c4.3

     1) difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT), and

c4.32) difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT).

39. A method according to claim 1, wherein said determining step d) includes determining criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters according to d1) of said single pressure waves during said time sequence windows, said parameters selected from the group of:

d1.1) starting diastolic minimum pressure defining the start of the single pressure wave (SW.P_min1),

d1.2) ending diastolic minimum pressure defining the end of the single pressure wave (SW.P_min2),

d1.3) systolic maximum pressure of the single pressure wave (SW.P_max,),

d1.4) amplitude of the single pressure wave (SW.dP),

d1.5) latency of the single pressure wave (SW.dT),

d1.6) rise time coefficient of the single pressure wave (SW.RT),

d1.7) wave duration of the single pressure wave (SW.WD),

d1.8) mean single wave pressure of the single pressure wave (SW.Mean_SWP), and

d1.9) diastolic minimum pressure difference of the single pressure wave (SW.Diff_P_min).

40. A method according to claim 39, wherein said criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters determines inclusion or exclusion of said single pressure waves for further analysis.

41. A method according to claim 39, wherein said criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters exclude minimum-maximum pressure (SW.P_min1/SW.P_max) pairs with said single pressure wave (SW.x)-related parameters outside selectable thresholds and ranges.

42. A method according to claim 1, wherein said determining step d) includes determining criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters according to d2) between subsequent of said single pressure waves during said time sequence windows, said parameters selected from the group of;

d2.1) systolic maximum pressure difference between two subsequent single pressure waves (Δ

SW.Diff_P_max),

d2.2) amplitude difference between two subsequent single pressure waves (Δ

SW.Diff_dP),

d2.3) latency difference between two subsequent single pressure waves (Δ

SW.Diff_dT),

d2.4) rise time coefficient difference between two subsequent single pressure waves (Δ

SW.Diff_RT),

d2.5) wave duration difference between two subsequent single pressure waves (Δ

SW.Diff_WD), and

d2.6) mean single wave pressure difference between two subsequent single pressure waves (Δ

SW.Diff_Mean_SWP).

43. A method according to claim 42, wherein said criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters between subsequent of said single pressure waves during said time sequence windows determines inclusion or exclusion of said single pressure waves for further analysis.

44. A method according to claim 42, wherein said criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters between subsequent of said single pressure waves during said time sequence windows exclude minimum-maximum pressure (SW.P_min1/SW.P_max) pairs with said delta single pressure wave (Δ

SW.x)-related parameters outside selectable thresholds and ranges.

45. A method according to claim 1, wherein said determining step d) includes determining criteria for thresholds and ranges of said time sequence (TS.x)-related parameters according to d3) during said time sequence windows, said parameters selected from the group of:

d3.1) mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

d3.2) standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

d3.3) mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

d3.4) standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

d3.5) mean amplitude of a time sequence window (TS.MeandP),

d3.6) standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

d3.7) mean latency of a time sequence window (TS.MeandT),

d3.8) standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

d3.9) mean rise time coefficient of a time sequence window (TS.MeanRT),

d3.10) standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

d3.11) mean wave duration of a time sequence window (TS.MeanWD),

d3.12) standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

d3.13) mean single wave pressure of a time sequence window (TS.Mean_SWP),

d3.14) standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

d3.15) mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

d3.16) standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

d3.17) mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

d3.18) standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

d3.19) mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

d3.20) standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

d3.21) mean latency difference of a time sequence window (TS.MeanDiff_dT),

d3.22) standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

d3.23) mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

d3.24) standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

d3.25) mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

d3.26) standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

d3.27) mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

d3.28) standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

d3.29) numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

d3.30) mean wave amplitude of a time sequence window (TS.MeanWavedP),

d3.31) mean wave latency of a time sequence window (TS.MeanWavedT),

d3.32) mean wave rise time coefficient of a time sequence window (TS.MeanWaveRT).

46. A method according to claim 45, wherein said criteria for thresholds and ranges of said time sequence (TS.x)-related parameters of said single pressure waves during said time sequence windows determines inclusion or exclusion of said time sequences for further analysis.

47. A method according to claim 45, wherein said criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters between subsequent time sequence windows exclude time sequences windows with said time sequence (TS.x)-related parameters outside selectable thresholds and ranges.

48. A method according to claim 1, wherein said determining step d) includes determining criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters according to d4) between subsequent time sequence windows, said parameters selected from the group of;

d4.1) difference of mean values of starting diastolic minimum pressures between two subsequent time sequence windows (Δ

TS.MeanP_min1),

d4.2) standard deviation of difference of mean values of starting diastolic minimum pressures of two subsequent time sequence windows (Δ

TS.MeanP_min1—

STD),

d4.3) difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max),

d4.4) standard deviation of difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max—

STD),

d4.5) difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

d4.6) standard deviation of difference of mean amplitudes between two subsequent time sequence windows (Δ

TS.MeandP_STD),

d4.7) difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

d4.8) standard deviation of difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT_STD),

d4.9) difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT),

d4.10) standard deviation of difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT_STD),

d4.11) difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD),

d4.12) standard deviation of difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD_STD),

d4.13) difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_SWP),

d4.14) standard deviation of difference of mean single wave pressure of two subsequent time sequence windows (Δ

TS.Mean_SWP_STD),

d4.15) difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min),

d4.16) standard deviation of difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min—

STD),

d4.17) difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max),

d4.18) standard deviation of difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max—

STD),

d4.19) difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP),

d4.20) standard deviation of difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP_STD),

d4.21) difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT),

d4.22) standard deviation of difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT_STD),

d4.23) difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT),

d4.24) standard deviation of difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT_STD),

d4.25) difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD),

d4.26) standard deviation of difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD_STD),

d4.27) difference of mean single wave pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP),

d4.28) standard deviation of difference of mean SW pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP_STD),

d4.29) difference of single wave count between two subsequent time sequence windows (Δ

TS.SWCount),

d4.30) difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

d4.31) difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT), and

d4.32) difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT).

49. A method according to claim 1, wherein said criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters between subsequent time sequence windows determine inclusion or exclusion of said time sequence windows for further analysis.

50. A method according to claim 1, wherein said criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters between subsequent time sequence windows exclude time sequence windows with said delta time sequence (Δ

TS.x)-related parameters outside selectable thresholds and ranges.

51. A method according to claim 1, wherein said determining step d) include determination of static criteria for thresholds and ranges, said static criteria being unchangeable during a recording.

52. A method according to claim 1, wherein said determining step d) include determination of dynamic criteria for said thresholds and ranges, said dynamic criteria being changeable during a recording, and said dynamic criteria being determined by output of said computing steps c) during a selectable number of said individual time sequence windows.

53. A method according to claim 1, wherein said computing step c) and determining step d) yield parameters enabling optimal identification of single pressure waves related to cardiac beat-induced pressure waves and identification of pressure waves related to artifacts or a combination of artifacts and cardiac beat-induced pressure waves.

54. A method according to claim 1, wherein said continuous pressure-related signals relate to single pressure waves created by physiological cardiac beat-induced pressure waves.

55. A method according to claim 1, wherein said identifying steps a) and b) further include selecting single pressure waves which occur between two consecutive of said time sequence windows and placing such waves in one or the other of said two consecutive individual time sequence windows according to selected criteria.

56. A method according to claim 55, wherein said selected criteria define that a first of said single pressure waves within said individual time sequence windows must have its ending diastolic minimum pressure value (SW.P_min2) within said individual time sequence window.

57. A method according to claim 55, wherein said selected criteria define that a last of said single pressure waves within said individual time sequence window must have both its starting and ending diastolic minimum pressure values (SW.P_min1 and SW.P_min2) within said individual time sequence window.

58. A method according to claim 1, wherein said method for processing continuous pressure-related signals is independent on said locations, said locations being starting points of said continuous pressure-related signals.

59. A method for processing continuous pressure-related signals derivable from locations inside or outside a human or animal body or body cavity, comprising the steps of obtaining samples of said signals at specific intervals, and converting thus sampled pressure signals into pressure-related digital data with a time reference,

wherein for selectable time sequence windows the method comprises the further steps of:

a) identifying from said digital data single pressure waves related to cardiac beat-induced pressure waves,

b) identifying from said digital data pressure waves related to artifacts or a combination of artifacts and cardiac beat-induced pressure waves,

c) computing time sequence (TS.x)-related parameters of said single pressure waves during individual of said time sequence windows, and

d) establishing an analysis output selected from one or more of said time sequence (TS.x)-related parameters of said single pressure waves during individual of said time sequence windows;

d1) mean wave amplitude (TS.MeanWavedP),

d2) mean wave latency (TS.MeanWavedT),

d3) mean wave rise time coefficient (TS.MeanWaveRT),

d4) mean amplitude (TS.MeandP),

d5) mean latency (TS.MeandT),

d6) mean rise time coefficient (TS.MeanRT), and

d7) mean single wave pressure (TS.Mean_SWP).

60. A method according to claim 59, wherein each of said samples contains a pressure value at a specific time.

61. A method according to claim 59, wherein a pressure signal refers to a number of sequential and available pressure-related samples during a time period.

62. A method according to claim 59, wherein each of said selectable time sequence windows is a selected time frame of said pressure-related digital data with a time reference.

63. A method according to claim 62, wherein said selected time frame lies in the range 5-15 seconds.

64. A method according to claim 59, wherein each of said selectable time sequence windows is related to a number of time-related sequential pressure samples, each sample referenced by a sample number and elapsed time determined by sample location number and sample frequency.

65. A method according to anyone of claim 59, wherein the method is applied to each of said time sequence windows in a continuous series of said time sequence windows during a recording.

66. A method according to claim 59, wherein said identifying steps a) and b) include identification of peaks and valleys in said sampled signal.

67. A method according to claim 66, wherein each of said peaks is a sample with a pressure value and a time stamp or location, and each of said valleys is a sample with a pressure value and a time stamp or location.

68. A method according to claim 59, wherein said identifying steps a) and b) include identification of included pair combinations of peaks and valleys in said signal.

69. A method according to claim 59, wherein said identifying steps a) and b) include identification of included pair combinations of valleys and peaks in said signal, corresponding to included pair combinations of diastolic minimum pressure (SW.P_min1) and systolic maximum pressure (SW.P_max), characterizing single pressure waves created by the cardiac beat-induced pressure waves.

70. A method according to claim 59, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows with single pressure wave (SW.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

starting diastolic minimum pressure defining the start of the single pressure wave (SW.P_min1),

ending diastolic minimum pressure defining the end of the single pressure wave (SW.P_min2),

systolic maximum pressure of the single pressure wave (SW.P_max,),

amplitude of the single pressure wave (SW.dP),

latency of the single pressure wave (SW.dT),

rise time coefficient of the single pressure wave (SW.RT),

wave duration of the single pressure wave (SW.WD),

mean single wave pressure of the single pressure wave (SW.Mean_SWP), and

diastolic minimum pressure difference of the single pressure wave (SW.Diff_P_min).

71. A method according to claim 59, wherein said identifying steps a) and b) include for further analysis single pressure waves having single pressure wave (SW.x)-related parameters within selected criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters.

72. A method according to claim 59, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows with delta single pressure wave (Δ

SW.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

systolic maximum pressure difference between two subsequent single pressure waves (Δ

SW.Diff_P_max),

amplitude difference between two subsequent single pressure waves (Δ

SW.Diff_dP),

latency difference between two subsequent single pressure waves (Δ

SW.Diff_dT),

rise time coefficient difference between two subsequent single pressure waves (Δ

SW.Diff_RT),

wave duration difference between two subsequent single pressure waves (Δ

SW.Diff_WD), and

mean single wave pressure difference between two subsequent single pressure waves (Δ

SW.Diff_Mean_SWP).

73. A method according to claim 59, wherein said identifying steps a) and b) include for further analysis single pressure waves having delta single pressure wave (Δ

SW.x)-related parameters within selected criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters.

74. A method according to claim 59, wherein said identifying steps a) and b) exclude for further analysis time sequence windows with time sequence (TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

mean amplitude of a time sequence window (TS.MeandP),

standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

mean latency of a time sequence window (TS.MeandT),

standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

mean rise time coefficient of a time sequence window (TS.MeanRT),

standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

mean wave duration of a time sequence window (TS.MeanWD),

standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

mean single wave pressure of a time sequence window (TS.Mean_SWP),

standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

mean latency difference of a time sequence window (TS.MeanDiff_dT),

standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT), and

mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

75. A method according to claim 59, wherein said identifying steps a) and b) include for further analysis time sequence windows having time sequence (TS.x)-related parameters within selected criteria for thresholds and ranges of said time sequence (TS.x)-related parameters.

76. A method according to claim 59, wherein said identifying steps a) and b) exclude for further analysis time sequence windows with delta time sequence (Δ

TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

difference of mean values of starting diastolic minimum pressures between two subsequent time sequence windows (Δ

TS.MeanP_min1),

standard deviation of difference of mean values of starting diastolic minimum pressures of two subsequent time sequence windows (Δ

TS.MeanP_min1—

STD),

difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max),

standard deviation of difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max—

STD),

difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

standard deviation of difference of mean amplitudes between two subsequent time sequence windows (Δ

TS.MeandP_STD),

difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

standard deviation of difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT_STD),

difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT),

standard deviation of difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT_STD),

difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD),

standard deviation of difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD_STD),

difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_SWP),

standard deviation of difference of mean single wave pressure of two subsequent time sequence windows (Δ

TS.Mean_SWP_STD),

difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min),

standard deviation of difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min—

STD),

difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max),

standard deviation of difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max—

STD),

difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP),

standard deviation of difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP_STD),

difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT),

standard deviation of difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT_STD),

difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT),

standard deviation of difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT_STD),

difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD),

standard deviation of difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD_STD),

difference of mean single wave pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP),

standard deviation of difference of mean SW pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP_STD),

difference of single wave count between two subsequent time sequence windows (Δ

TS.SWCount),

difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT), and

difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT).

77. A method according to claim 59, wherein said identifying steps a) and b) include for further analysis time sequence windows having delta time sequence (Δ

TS.x)-related parameters within selected criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters.

78. A method according to 59, wherein said identifying steps a) and b) are applied to each consecutive time sequence window in a continuous series of time sequence windows of a signal.

79. A method according to claim 59, wherein said identifying steps a) and b) further include selecting single pressure waves which occur between two consecutive of said time sequence windows and placing such waves in one or the other of said two consecutive individual time sequence windows according to selected criteria.

80. A method according to claim 79, wherein said selected criteria define that a first of said single pressure waves within said individual time sequence window must have its ending diastolic minimum pressure value (SW.P_min2) within said individual time sequence window.

81. A method according to claim 79, wherein said selected criteria define that a last of said single pressure waves within said individual time sequence window must have both its starting and ending diastolic minimum pressure values (SW.P_min1 and SW.P_min2) within said individual time sequence window.

82. A method according to claim 59, wherein said computing step c) for included time sequence windows further includes determining said time sequence (TS.x)-related parameters, said parameters selected from the group of:

c1) mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

c2) standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

c3) mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

c4) standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

c5) mean amplitude of a time sequence window (TS.MeandP),

c6) standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

c7) mean latency of a time sequence window (TS.MeandT),

c8) standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

c9) mean rise time coefficient of a time sequence window (TS.MeanRT),

c10) standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

c11) mean wave duration of a time sequence window (TS.MeanWD),

c12) standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

c13) mean single wave pressure of a time sequence window (TS.Mean_SWP),

c14) standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

c15) mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

c16) standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

c17) mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

c18) standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

c19) mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

c20) standard deviation of mean amplitude difference of a time sequence (TS.MeanDiff_dP_STD),

c21) mean latency difference of a time sequence window (TS.MeanDiff_dT),

c22) standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

c23) mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

c24) standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

c25) mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

c26) standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

c27) mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

c28) standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

c29) numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

c30) mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

c31) mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT),

c32) mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

83. A method according to claim 59, wherein said computing step c) includes determining mean wave amplitude (TS.MeanWavedP) and mean wave latency (TS.MeanWavedT), said determining comprising the steps of creating a first matrix based on determining number of single pressure waves with pre-selected values related to amplitude (SW.dP) and latency (SW.dT), one axis of said first matrix being related to an array of pre-selected values of pressure amplitude (SW.dP) and the other axis of said first matrix being related to an array of pre-selected values of latencies (SW.dT), and indicating for each matrix cell at respective intersections in said first matrix a number of occurrences of matches between a specific pressure amplitude (SW.dP) and a specific latency (SW.dT) related to successive measurements of single pressure waves over said individual time sequence windows.

84. A method according to claim 83, wherein the single pressure wave parameters of amplitude (SW.dP) and latency (SW.dT) are categorized into groups, said groups reflecting ranges of said single wave (SW.x)-related parameter values.

85. A method according to claim 83, wherein the occurrence of matches in said first matrix is indicated through actual number of matches during individual of said time sequence windows.

86. A method according to claim 83, comprising the further step of computing balanced position for a number of occurrences of said single pressure wave (SW.x)-related parameters of amplitude (SW.dP) and latency (SW.dT) values during individual of said time sequences in said first matrix.

87. A method according to claim 86, wherein said balanced position of said first matrix of numbers of amplitude (SW.dP) and latency (SW.dT) combinations corresponds to mean wave amplitude (TS.MeanWavedP) and mean wave latency (TS.MeanWavedT), respectively during said individual time sequence windows.

88. A method according to claim 59, wherein said computing step c) includes determining mean wave rise time coefficient (TS.MeanWaveRT), said determining comprising the steps of creating a second matrix based on determining number of single pressure waves with pre-selected values related to rise time coefficient (SW.RT), the axis in said second matrix being related to an array of pre-selected values of rise time coefficient (SW.RT), and wherein indicating for each matrix cell in said second matrix a number of occurrences of pre-selected rise time coefficients (SW.RT) related to successive measurements of single pressure waves during said individual time sequence windows.

89. A method according to claim 88, wherein the single pressure wave parameter rise time coefficient (SW.RT) is categorized into groups, said groups reflecting ranges of said single wave (SW.RT) parameter values.

90. A method according to claim 88, comprising the further step of computing balanced position for a number of occurrences of said single pressure wave (SW.x)-related parameter rise time coefficient (SW.RT) in said second matrix, to yield an analysis output.

91. A method according to claim 90, wherein said balanced position of said second matrix of numbers of rise time coefficient (SW.RT) combinations corresponds to the mean wave rise time coefficient (TS.MeanWaveRT) of said time sequence window.

92. A method according to claim 59, wherein said computing step c) yields the parameter mean amplitude of said time sequence window (TS.MeandP), said parameter corresponding the sum of amplitude (SW.dP) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

93. A method according to claim 59, wherein said computing step c) yields analysis output related to the parameter mean latency of said time sequence window (TS.MeandT), said parameter corresponding to the sum of latency (SW.dT) values for all individual single pressure waves during said time sequence window divided by the numbers of said individual single pressure waves during said individual time sequence window.

94. A method according to claim 59, wherein said computing step c) yields analysis output related to the parameter mean rise time coefficient of said time sequence window (TS.MeanRT) corresponding to the sum of rise time coefficient (SW.RT) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

95. A method according to claim 59, wherein said computing step c) yields analysis output related to the parameter absolute mean single wave pressure of said time sequences (TS.Mean_SWP) corresponding to the sum of mean pressure (SW.Mean_SWP) values for all individual single pressure waves during said time sequence window divided by number of said individual single pressure waves during said individual time sequence window.

96. A method according to claim 95, wherein mean pressure value for an individual of said single pressure waves (SW.Mean_SWP) is the sum of sample values during the time of a wave duration, i.e. from starting diastolic minimum pressure (SW.P_min1) to ending diastolic minimum pressure (SW.P_min2) divided by numbers of samples.

97. A method according to claim 59, wherein said establishing step d) yields output of analysis of parameters d1)-d7) during each individual of said time sequence windows in a continuous series of said time sequence windows of said pressure-related signal.

98. A method according to claim 59, wherein the duration of each selectable time sequence window lies in a time range of 5-15 seconds.

99. A method according to claim 59, wherein establishing step d) yields output of analysis of one or more of parameters d1)-d7), said analysis output being presented as numerical values on a display for each of said time sequence windows during ongoing sampling of said pressure-related signals.

100. A method according to claim 59, wherein establishing step d) yields output of analysis of one or more of parameters d1)-d7), said analysis output being presented as histogram distribution of values of said parameters d1)-d7) for a selectable number of time sequence windows of said pressure-related signal.

101. A method according to claim 59, wherein establishing step d) yields output of analysis of one or more of parameters d1)-d7), said analysis output being presented as a quantitative matrix for a selectable number of time sequence windows of said pressure-related signal.

102. A method according to claim 101, wherein said quantitative matrix is created based on determining numbers of one of said parameters d1)-d7) with selected parameter values, wherein one axis of the quantitative matrix is related to an array of selected parameter values, wherein the other axis is related to an array of selected numbers of consecutive included time sequence windows, and wherein indicating for each matrix cell at respective intersections in said quantitative matrix a number of occurrence of matches between a specific parameter value and a specific number of time sequence windows

103. A method according to claim 102, wherein said parameter values are categorized into groups, said groups reflecting ranges of said parameter values.

104. A method according to claim 102, wherein the occurrence of matches in said matrix is indicated through actual number or standardisation based number of matches during a specific measurement period, said standardisation based number of matches being a function of the length of a specific measurement period.

105. A method according to claim 59, wherein said method for processing continuous pressure-related signals is independent on said locations, said locations being starting points of said continuous pressure-related signals.

106. A method for processing two or more simultaneous continuous pressure-related signals derivable from a human or animal body from one or more locations thereof electable from:

inside the body, outside the body, inside body cavity, outside body cavity, comprising the steps of obtaining samples of said signals at specific intervals, and converting thus sampled pressure signals into pressure-related digital data with identical time reference,

wherein for selectable and simultaneous time sequence windows the method comprises the further steps of;

a) identifying from said digital data single pressure waves related to cardiac beat-induced pressure waves within said two or more simultaneous signals constituting a pressure recording,

b) identifying from said digital data pressure waves related to artifacts or a combination of artifacts and cardiac beat-induced pressure waves within said two or more simultaneous signals constituting a pressure recording,

c) computing time sequence (TS.x)-related parameters of said single pressure waves during said identical time sequence windows within said two or more simultaneous signals constituting a pressure recording,

wherein the method comprising the further steps of;

d) determining relationships between time sequence (TS.x)-related parameters of said identical time sequence windows within said two or more simultaneous signals constituting a pressure recording,

said relationships calculated as related time sequence (rTS.x) parameters, and

e) determining said related time sequence (rTS.x) parameters for individual recordings,

f) determining said related time sequence (rTS.x) parameters for a population of recordings, and

g) using said related time sequence (rTS.x) parameters for formula-based adjustment of time sequence windows of individual pressure-related signals, and

h) creating from said formula-based adjustments factorized time sequence (fTS.x) parameters of said individual time sequence windows of said individual continuous pressure-related signals.

107. A method according to claim 106, wherein samples are obtained from each respective one of said pressure related signals, each such samples containing a pressure value at a specific time, and wherein said two or more pressure-related signals are all sampled simultaneously.

108. A method according to claim 106, wherein each of said sampled pressure signals refers to a number of sequential and available pressure-related samples during a time period.

109. A method according to claim 106, wherein each of said selectable and simultaneous time sequence windows is a selected time frame of said pressure-related digital data with a time reference.

110. A method according to claim 106, wherein said selected time frame lies in the range 5-15 seconds.

111. A method according to claim 106, wherein each of said simultaneous selectable time sequence windows is related to a number of time-related sequential pressure samples, each sample referenced by a sample number and elapsed time determined by sample location number and sample frequency.

112. A method according to anyone of claim 106, wherein the method is applied to each of said simultaneous time sequence windows in a continuous series of said simultaneous time sequence windows during a recording.

113. A method according to claim 106, wherein said sampled signals are obtained from at least two simultaneous continuous intracranial intra-dural and epidural pressure-related signals.

114. A method according to claim 106, wherein said sampled signals are obtained from at least two simultaneous continuous intracranial intra-dural and intraspinal intradural cerebrospinal fluid pressure signals.

115. A method according to claim 106, wherein said sampled signals are obtained from at least two simultaneous continuous intracranial intra-dural and extra-cranial pressure signals indicative of intracranial pressure signals.

116. A method according to claim 115, wherein signals sampled from said extra-cranial pressure signals are related to air pressure signals derivable from within a human or animal outlet-sealed outer ear channel.

117. A method according to claim 115, wherein said extra-cranial pressure signals are transcranial Doppler signals, being transformable into pressure-related signals indicative of intracranial pressure signals.

118. A method according to claim 115, wherein said extra-cranial pressure signals are cranial impedance-related signals, being transformable into pressure-related signals indicative of intracranial pressure signals.

119. A method according to claim 115, wherein said extra-cranial pressure signals are ocular applanation pressure signals.

120. A method according to claim 106, wherein said sampled signals are sampled from at least two simultaneous continuous intra-arterial and extra-arterial pressure signals indicative of intra-arterial pressure signals.

121. A method according to claim 120, wherein said extra-arterial pressure signals are arterial applanation pressure signals, being transformable into pressure-related signals indicative of intra-arterial pressure signals.

122. A method according to claim 106, wherein said identifying steps a) and b) include identification of peaks and valleys in said simultaneously sampled signals constituting a pressure recording.

123. A method according to claim 122, wherein each of said peaks is a sample with a pressure value and a time stamp or location, and each of said valleys is a sample with a pressure value and a time stamp or location.

124. A method according to claim 106, wherein said identifying steps a) and b) include determination of included pair combinations of valleys and peaks in said simultaneous signals constituting a pressure recording.

125. A method according to claim 106, wherein said identifying steps a) and b) include identification of included pair combinations of valleys and peaks in said simultaneous signals constituting a pressure recording, corresponding to included pair combinations of diastolic minimum pressure (SW.P_min1) and systolic maximum pressure (SW.P_max), characterizing single pressure waves created by the cardiac beat-induced pressure waves.

126. A method according to claim 106, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows with single pressure wave (SW.x)-related parameters outside selected signal-specific criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

starting diastolic minimum pressure defining the start of the single pressure wave (SW.P_min1),

ending diastolic minimum pressure defining the end of the single pressure wave (SW.P_min2),

systolic maximum pressure of the single pressure wave (SW.P_max,),

amplitude of the single pressure wave (SW.dP),

latency of the single pressure wave (SW.dT),

rise time coefficient of the single pressure wave (SW.RT),

wave duration of the single pressure wave (SW.WD),

mean single wave pressure of the single pressure wave (SW.Mean_SWP), and

diastolic minimum pressure difference of the single pressure wave (SW.Diff_P_min).

127. A method according to claim 106, wherein said identifying steps a) and b) include for further analysis single pressure waves having single pressure wave (SW.x)-related parameters within selected signal-specific criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters.

128. A method according to claim 126, wherein said signal-specific criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters are different for different types of signals.

129. A method according to claim 106, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows with delta single pressure wave (Δ

SW.x)-related parameters outside selected signal-specific criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

systolic maximum pressure difference between two subsequent single pressure waves (SW.Diff_P_max),

amplitude difference between two subsequent single pressure waves (SW.Diff_dP),

latency difference between two subsequent single pressure waves (SW.Diff_dT),

rise time coefficient difference between two subsequent single pressure waves (SW.Diff_RT),

wave duration difference between two subsequent single pressure waves (SW.Diff_WD), and

mean single wave pressure difference between two subsequent single pressure waves (SW.Diff_Mean_SWP).

130. A method according to claim 106, wherein said identifying steps a) and b) include for further analysis single pressure waves having delta single pressure wave (Δ

SW.x)-related parameters within selected signal-specific criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters.

131. A method according to claim 129, wherein said signal-specific criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters are different for different types of signals.

132. A method according to claim 106, wherein said identifying steps a) and b) exclude for further analysis time sequence windows with time sequence (TS.x)-related parameters outside selected signal-specific criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

mean amplitude of a time sequence window (TS.MeandP),

standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

mean latency of a time sequence window (TS.MeandT),

standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

mean rise time coefficient of a time sequence window (TS.MeanRT),

standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

mean wave duration of a time sequence window (TS.MeanWD),

standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

mean single wave pressure of a time sequence window (TS.Mean_SWP),

standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

mean latency difference of a time sequence window (TS.MeanDiff_dT),

standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT), and

mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

133. A method according to claim 106, wherein said identifying steps a) and b) include for further analysis time sequence windows having time sequence (TS.x)-related parameters within selected signal-specific criteria for thresholds and ranges of said time sequence (TS.x)-related parameters.

134. A method according to claim 132, wherein said signal-specific criteria for thresholds and ranges of said time sequence (TS.x)-related parameters are different for different types of signals.

135. A method according to claim 106, wherein said identifying steps a) and b) exclude for further analysis time sequence windows with delta time sequence (Δ

TS.x)-related parameters outside selected signal-specific criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

difference of mean values of starting diastolic minimum pressures between two subsequent time sequence windows (Δ

TS.MeanP_min1),

standard deviation of difference of mean values of starting diastolic minimum pressures of two subsequent time sequence windows (Δ

TS.MeanP_min1—

STD),

difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max),

standard deviation of difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max—

STD),

difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

standard deviation of difference of mean amplitudes between two subsequent time sequence windows (Δ

TS.MeandP_STD),

difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

standard deviation of difference of mean latency between two subsequent time sequences windows (Δ

TS.MeandT_STD),

difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT),

standard deviation of difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT_STD),

difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD),

standard deviation of difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD_STD),

difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_SWP),

standard deviation of difference of mean single wave pressure of two subsequent time sequence windows (Δ

TS.Mean_SWP_STD),

difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min),

standard deviation of difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min—

STD),

difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max),

standard deviation of difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max—

STD),

difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP),

standard deviation of difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP_STD),

difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT),

standard deviation of difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT_STD),

difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT),

standard deviation of difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT_STD),

difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD),

standard deviation of difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD_STD),

difference of mean single wave pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP),

standard deviation of difference of mean SW pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP_STD),

difference of single wave count between two subsequent time sequence windows (Δ

TS.SWCount),

difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT), and

difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT).

136. A method according to claim 106, wherein said identifying steps a) and b) include for further analysis time sequence windows having delta time sequence (Δ

TS.x)-related parameters within selected signal-specific criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters.

137. A method according to claim 135, wherein said signal-specific criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters are different for different types of signals.

138. A method according to 106, wherein said identifying steps a) and b) are applied to each consecutive time sequence window in a continuous series of time sequence windows of said simultaneous signals constituting a pressure recording.

139. A method according to claim 106, wherein said identifying steps a) and b) further include selecting single pressure waves which occur between two consecutive of said time sequence windows and placing such waves in one or the other of said two consecutive time sequence windows according to selected criteria.

140. A method according to claim 139, wherein said selected criteria define that a first of said single pressure waves within said time sequence window must have its ending diastolic minimum pressure value (SW.P_min2) within said time sequence window.

141. A method according to claim 139, wherein said selected criteria define that a last of said single pressure waves within said individual time sequence window must have both its starting and ending diastolic minimum pressure values (SW.P_min1 and SW.P_min2) within said individual time sequence window.

142. A method according to claim 106, wherein said computing step c) for included time sequence windows further includes determining said time sequence (TS.x)-related parameters of simultaneous signals constituting a pressure recording, said parameters selected from the group of:

c1) mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

c2) standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

c3) mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

c4) standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

c5) mean amplitude of a time sequence window (TS.MeandP),

c6) standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

c7) mean latency of a time sequence window (TS.MeandT),

c8) standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

c9) mean rise time coefficient of a time sequence window (TS.MeanRT),

c10) standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

c11) mean wave duration of a time sequence window (TS.MeanWD),

c12) standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

c13) mean single wave pressure of a time sequence window (TS.Mean_SWP),

c14) standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

c15) mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

c16) standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

c17) mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

c18) standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

c19) mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

c20) standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

c21) mean latency difference of a time sequence window (TS.MeanDiff_dT),

c22) standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

c23) mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

c24) standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

c25) mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

c26) standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

c27) mean single wave pressure difference of a time sequence window

(TS.MeanDiff_Mean_SWP),

c28) standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

c29) numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

c30) mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

c31) mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT),

c32) mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

143. A method according to claim 142, wherein said parameter c5) of mean amplitude during said time sequence window (TS.MeandP) is the sum of amplitude (SW.dP) values for all individual single pressure waves during said time sequence window divided by the number of single pressure waves during said identical time sequence windows.

144. A method according to claim 142, wherein said parameter c7) of mean latency during said time sequence window (TS.MeandT) is the sum of latency (SW.dT) values for all individual single pressure waves during said time sequence window divided by the number of single pressure waves during said identical time sequence windows.

145. A method according to claim 142, wherein said parameter c9) of mean rise time coefficient during said time sequence window (TS.MeanRT) is the sum of rise time coefficient (SW.RT) values for all individual single pressure waves during said time sequence window divided by the number of single pressure waves within said identical time sequence windows.

146. A method according to claim 142, wherein said parameter c11) of mean wave duration during said time sequence window (TS.MeanWD) is the sum of wave duration (SW.WD) values for all individual single pressure waves during said time sequence window divided by the number of single pressure waves within said identical time sequence windows.

147. A method according to claim 142, wherein said parameter c13) of mean single wave pressure during said time sequence window (TS.Mean_SWP) is the sum of absolute mean pressure (wave duration;

SW.P_min1 to SW.P_min2) (SW.Mean_SWP) for all individual single pressure waves during said time sequence window divided by the number of single pressure waves within said identical time sequence windows.

148. A method according to claim 142, wherein absolute mean pressure for each of said individual single pressure waves (SW.Mean_SWP) is the sum of sample values during the time of the wave duration, i.e. from starting diastolic minimum pressure (SW.P_min1) to ending diastolic minimum pressure (SW.P_min2) divided by numbers of samples.

149. A method according to claim 142, wherein said parameter c30) of mean wave amplitude during said time sequence (TS.MeanWavedP) is computed according to the first matrix as balanced position of number of occurrences of amplitude (SW.dP) and latency (SW.dT) values in said first matrix for all individual single pressure waves during said time sequence window.

150. A method according to claim 142, wherein said parameter c31) of mean wave latency during said time sequence (TS.MeanWavedT) is computed according to the first matrix as balanced position of number of occurrences of amplitude (SW.dP) and latency (SW.dT) values in said first matrix for all individual single pressure waves during said time sequence window.

151. A method according to claim 142, wherein said parameter c32) of mean wave rise time coefficient during said time sequence (TS.MeanWaveRT) is computed according to the second matrix as balanced position of number of occurrences of rise time coefficient values (SW.RT) in said second matrix for all individual single pressure waves during said time sequence window.

152. A method according to claim 106, wherein said step d) incorporates calculation of related time sequence (rTS.x) parameters selected from the group of:

d1) relationship of mean values of starting diastolic minimum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.P_min1),

d2) relationship of standard deviation of mean values of starting diastolic minimum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanP_min1—

STD),

d3) relationship of mean values of systolic maximum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanP_max),

d4) relationship of standard deviation of mean values of systolic maximum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanP_max—

STD),

d5) relationship of mean amplitude values of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeandP),

d6) relationship of standard deviation of mean amplitude of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeandP_STD),

d7) relationship of mean latency of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeandT),

d8) relationship of standard deviation of mean latency of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeandT_STD),

d9) relationship of mean rise time coefficient of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanRT),

d10) relationship of standard deviation of mean rise time coefficient of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanRT_STD),

d11) relationship of mean wave duration of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWD),

d12) relationship of standard deviation of mean wave duration of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWD_STD),

d13) relationship of mean single wave pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.Mean_SWP),

d14) relationship of standard deviation of mean single wave pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.Mean_SWP_STD),

d15) relationship of mean diastolic minimum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_min),

d16) relationship of standard deviation of mean diastolic minimum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_min—

STD),

d17) relationship of mean systolic maximum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_max),

d18) relationship of standard deviation of mean systolic maximum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_max—

STD),

d19) relationship of mean amplitude difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dP),

d20) relationship of standard deviation of mean amplitude difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dP_STD),

d21) relationship of mean latency difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dT),

d22) relationship of standard deviation of mean latency difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dT_STD),

d23) relationship of mean rise time coefficient difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_RT),

d24) relationship of standard deviation of mean rise time coefficient difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_RT_STD),

d25) relationship of mean wave duration difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_WD),

d26) relationship of standard deviation of mean wave duration difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_WD_STD),

d27) relationship of mean single wave pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_Mean_SWP),

d28) relationship of standard deviation of mean single wave pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_Mean_SWP_STD),

d29) relationship of single wave count of two or more perfect time sequence windows from two or more different pressure signals (rTS.SWCount),

d30) relationship of mean wave amplitude of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWavedP),

d31) relationship of mean wave latency of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWavedT),and

d32) relationship of mean wave rise time coefficient of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWaveRT).

153. A method according to claim 106, wherein said related time sequence (rTS.x) parameters are constant relationships between identical time sequence (TS.x)-related parameters of different pressure signals with identical time reference.

154. A method according to claim 106, wherein said related time sequence (rTS.x) parameters are formula-based relationships between identical time sequence (TS.x)-related parameters of different pressure signals with identical time reference.

155. A method according to claim 106, wherein said related time sequence (rTS.x) parameters are computed for each individual of said time sequence windows in a continuous series of time sequence windows, and wherein the mean value of such parameters is determined for all individual time sequence windows within a signal of a pressure recording.

156. A method according to claim 106, wherein in step f) comprising said related time sequence (rTS.x) parameters determined for a population of recordings, said population including selectable recordings, each including one or more simultaneous continuous pressure-related signals.

157. A method according to claim 156, wherein said population of recordings is categorized according to signal type.

158. A method according to claim 156, wherein said population of recordings enables determination of population-based formulas for said related time sequence (rTS.x)-related parameters.

159. A method according to claim 106, wherein said simultaneous continuous pressure-related signals includes two dimensions, a pressure scale and a time scale.

160. A method according to claim 106, wherein in step h) said factorized time sequence (fTS.x) parameters are derived from related time sequence (rTS.x) values of continuous pressure-related signals of individual pressure recordings.

161. A method according to claim 106, wherein step h) said factorized time sequence (fTS.x) parameters are derived from related time sequence (rTS.x) values of continuous pressure-related signals of a population of pressure recordings.

162. A method according to claim 106, wherein in said step h) said creation of factorized time sequence (fTS.x) parameters relate to formula-based adjustment of time sequence (TS.x)-related parameters of said individual time sequence windows of said continuous pressure-related signals, said factorized time sequence (fTS.x) parameters selected from the group of:

factorized mean value of starting diastolic minimum pressure of a time sequence window (fTS.MeanP_min1),

factorized standard deviation of mean value of starting diastolic minimum pressure of a time sequence window (fTS.MeanP_min1—

STD),

factorized mean value of systolic maximum pressure of a time sequence window (fTS.MeanP_max),

factorized standard deviation of mean value of systolic maximum pressure of a time sequence window (fTS.MeanP_max—

STD),

factorized mean amplitude of a time sequence window (fTS.MeandP),

factorized standard deviation of mean amplitude of a time sequence window (fTS.MeandP_STD),

factorized mean latency of a time sequence window (fTS.MeandT),

factorized standard deviation of mean latency of a time sequence window (fTS.MeandT_STD),

factorized mean rise time coefficient of a time sequence window (fTS.MeanRT),

factorized standard deviation of mean rise time coefficient of a time sequence window (fTS.MeanRT_STD),

factorized mean wave duration of a time sequence window (fTS.MeanWD),

factorized standard deviation of mean wave duration of a time sequence window (fTS.MeanWD_STD),

factorized mean single wave pressure of a time sequence window (fTS.Mean_SWP),

factorized standard deviation of mean single wave pressure of a time sequence window (fTS.Mean_SWP_STD),

factorized mean value of diastolic minimum pressure difference of a time sequence window (fTS.MeanDiff_P_min),

factorized standard deviation of mean value of diastolic minimum pressure difference of a time sequence window (fTS.MeanDiff_P_min—

STD),

factorized mean value of systolic maximum pressure difference of a time sequence window (fTS.MeanDiff_P_max),

factorized standard deviation of mean value of systolic maximum pressure difference of a time sequence window (fTS.MeanDiff_P_max—

STD),

factorized mean amplitude difference of a time sequence window (fTS.MeanDiff_dP),

factorized standard deviation of mean amplitude difference of a time sequence window (fTS.MeanDiff_dP_STD),

factorized mean latency difference of a time sequence window (fTS.MeanDiff_dT),

factorized standard deviation of mean latency difference of a time sequence window (fTS.MeanDiff_dT_STD),

factorized mean rise time coefficient difference of a time sequence window (fTS.MeanDiff_RT),

factorized standard deviation of mean rise time coefficient difference of a time sequence window (fTS.MeanDiff_RT_STD),

factorized mean wave duration difference of a time sequence window (fTS.MeanDiff_WD),

factorized standard deviation of mean wave duration difference of a time sequence window (fTS.MeanDiff_WD_STD),

factorized standard deviation of mean single wave pressure difference of a time sequence window (fTS.MeanDiff_Mean_SWP_STD),

factorized amplitude of the mean wave of a time sequence window (fTS.MeanWavedP),

factorized latency of the mean wave of a time sequence window (fTS.MeanWavedT), and

factorized rise time coefficient of the mean wave of a time sequence window (fTS.MeanWaveRT).

163. A method according to claim 162, wherein said formula-based adjustments of time sequence (TS.x)-related parameters relates to multiplication of the pressure scale of said individual time sequence windows of said pressure-related signal with a given constant factor value derived from the related time sequence (rTS.x) parameters.

164. A method according to claim 162, wherein said formula-based adjustments of time sequence (TS.x)-related parameters relates to adjustment of the pressure scale of said individual time sequence windows of said pressure-related signal according to a formula-based relationship derived from the related time sequence (rTS.x) parameters.

165. A method according to claim 106, wherein said pressure-related signals relate to human or animal body pressures elected from one or more of:

intracranial pressure, arterial blood pressure, cerebrospinal fluid pressure, cerebral perfusion pressure, ocular pressure, gastrointestinal pressure, urinary tract pressure, or any type of soft tissue pressure.

166. A method according to claim 106, wherein said method for processing continuous pressure-related signals is independent on said locations, said locations being starting points of said continuous pressure-related signals.

167. A device for use in sensing continuous pressure-related signals through non-invasive pressure measurements on a human or animal body, comprising

a pressure sensor with a pressure sensing tube, said tube insertable into a human or animal outer ear channel spaced from a tympanic membrane thereof,

wherein inflatable means surrounds an outside length of the tube, said inflatable means upon inflation thereof sealingly closing an annular gap between a region of said tube and a wall region of said outer ear channel.

168. A device according to claim 167, wherein said inflatable means is of a balloon type.

169. A device according to claim 167, wherein said inflatable means is deflatable by opening a release duct.

170. A device according to claim 167, wherein in said inflatable means is deflatable by puncturing thereof.

171. A device according to claim 167, wherein the non-invasive, ear channel related sensor is connected via a signal transducer to a processing unit, said processing unit being capable of delivering continuous pressure-related signals.

172. A device according to claim 167, wherein said pressure sensor can be located anywhere along said pressure sensing tube, said sensor location being within the ear channel.

173. A device according to claim 167, wherein said pressure sensor can be located anywhere along said pressure sensing tube, said sensor location being outside the ear channel.

174. A device for use in draining excess fluid from a brain or spinal fluid cavity unto another body cavity of a human being, comprising:

a first drainage tube having an inlet thereof located in said brain or spinal fluid cavity, said first drainage tube connected to the inlet of a fluid flow controllable valve,

a valve-opening regulator with associated control unit being connected to a regulator and processing unit, the control output from which is a function of pressure-sensing signals derived from at least one pressure sensor, a pressure transducer transforming said pressure-sensing signals into signals processed by said processing unit, a power supply, information transferable means, and

a second drainage tube from an outlet of said valve opening having a distal outlet thereof, said distal outlet opening into said another human body cavity, wherein

partly said first drainage tube, said fluid flow controllable valve, said valve-opening regulator, said control unit, said regulator, said processing unit, said pressure transducer, said power supply, said information transferable means and partly said second drainage tube being located below a skin surface of said human body.

175. A device according to claim 174, wherein said inlet of said first drainage tube is located inside dura mater of a brain, within one or more of said brain fluid cavities, said first drainage tube being able to drain fluid from said brain fluid cavity to the inlet of said fluid flow controllable valve.

176. A device according to claim 174, wherein said inlet of said first drainage tube is located inside dura mater of a spinal cord, within said spinal fluid cavity, said drainage tube being able to drain fluid from said spinal fluid cavity to the inlet of said fluid flow controllable valve.

177. A device according to claim 174, wherein location of said sensor provides for sensing pressure-related signals from said human brain or spinal fluid cavity.

178. A device according to claim 177, wherein said sensor is located on or coupled to said first drainage tube providing for sensing pressure-related signals from said fluid within said first drainage tube.

179. A device according to claim 177, wherein said sensor location is in a region of said brain fluid cavity.

180. A device according to claim 177, wherein said sensor location is in a region of said spinal fluid cavity.

181. A device according to claim 174, wherein said sensor is connected via a signal transducer to said processing unit, said processing unit capable of delivering a first control signal to said regulator, the output of which is set to control said control unit associated with said valve-opening regulator, said control unit controlling fluid flow mass rate through said valve associated with said valve-opening regulator for adjustment of fluid flow therethrough.

182. A device according to claim 174, wherein said processing unit delivers a first control signal to said regulator, and wherein a regulator deliverable second control signal unto a control unit being a function of said first control signal.

183. A device according to claim 174, wherein a regulator deliverable second control signal to a control unit modifies the mode by which said control unit controls adjustment of said valve-opening regulator.

184. A device according to claim 174, wherein fluid flow rate through said valve is adjustable by said valve-opening regulator being controlled by said first control signal from said processing unit.

185. A device according to claim 174, wherein said device comprising partly said first drainage tube, said fluid flow controllable valve, said valve-opening regulator, said control unit, said regulator, said processing unit, said pressure transducer, said power supply, said information transferable means and partly said second drainage tube are locatable below a skin surface of said human body in a thoracic or abdominal body area.

186. A device according to claim 174, wherein said opening of said second drainage tube within said another body cavity, enables drainage of fluid into an abdominal body cavity, thus enabling said second drainage tube to drain fluid from said valve to said abdominal body cavity.

187. A device according to claim 174, wherein said opening of said second drainage tube within said another body cavity, enables drainage of fluid into a thoracic body cavity, thus enabling said second drainage tube to drain fluid from said valve to said thoracic body cavity.

188. A device according to claim 174, wherein said information transferable means enables information transferal through skin of said human being, said information being deliverable unto an external processing unit.

189. A device according to claim 174, wherein said information being from said power supply relating to residual power.

190. A device according to claim 174, wherein said information being from said processing unit relating to analysis output of processing of continuous pressure related signals.

191. A device according to claim 174, wherein said information being delivered unto said processing unit relating to adjustment interaction between analysis output of said processing unit and the level of a first control signal delivered thereof.

192. A method for processing continuous pressure-related signals derivable from locations inside or outside a human body or body cavity, comprising the steps of obtaining samples of said signals at specific intervals, and converting thus sampled pressure signals into pressure-related digital data with a time reference,

wherein for selectable time sequence windows the method comprises the further steps of:

a) identifying from said digital data single pressure waves related to cardiac beat-induced pressure waves,

b) identifying from said digital data pressure waves related to artifacts or a combination of artifacts and cardiac beat-induced pressure waves,

c) computing time sequence (TS.x)-related parameters of said single pressure waves during individual of said time sequence windows,

d) establishing an analysis output of said time sequence (TS.x)-related parameters for a selectable number of said time sequence windows,

e) establishing a deliverable first control signal related to an analysis output in step d) for a selectable number of said time sequence windows, said first control signal being determined according to one or more selectable criteria for said analysis output, and

f) modifying said deliverable first control signal into a second control signal to provide a performance modifying signal.

193. A method according to claim 192, wherein each of said samples contains a pressure value at a specific time.

194. A method according to claim 192, wherein a pressure signal refers to a number of sequential and available pressure-related samples during a time period.

195. A method according to claim 192, wherein each of said selectable time sequence windows is a selected time frame of said pressure-related digital data with a time reference.

196. A method according to claim 195, wherein said selected time frame lies in the range 5-15 seconds.

197. A method according to claim 192, wherein each of said selectable time sequence windows is related to a number of time-related sequential pressure samples, each sample referenced by a sample number and elapsed time determined by sample location number and sample frequency.

198. A method according to anyone of claim 192, wherein the method is applied to each of said selectable time sequence windows in a continuous series of said time sequence windows during a recording.

199. A method according to claim 192, wherein said identifying steps a) and b) include identification of peaks and valleys in said sampled signal.

200. A method according to claim 199, wherein each of said peaks is a sample with a pressure value and a time stamp or location, and each of said valleys is a sample with a pressure value and a time stamp or location.

201. A method according to claim 192, wherein said identifying steps a) and b) include identification of included pair combinations of peaks and valleys in said signal.

202. A method according to claim 192, wherein said identifying steps a) and b) include identification of included pair combinations of valleys and peaks in said signal, corresponding to included pair combinations of diastolic minimum pressure (SW.P_min1) and systolic maximum pressure (SW.P_max), characterizing single pressure waves created by the cardiac beat-induced pressure waves.

203. A method according to claim 192, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows with single pressure wave (SW.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

starting diastolic minimum pressure defining the start of the single pressure wave (SW.P_min1),

ending diastolic minimum pressure defining the end of the single pressure wave (SW.P_min2),

systolic maximum pressure of the single pressure wave (SW.P_max,),

amplitude of the single pressure wave (SW.dP),

latency of the single pressure wave (SW.dT),

rise time coefficient of the single pressure wave (SW.RT),

wave duration of the single pressure wave (SW.WD),

mean single wave pressure of the single pressure wave (SW.Mean_SWP), and

diastolic minimum pressure difference of the single pressure wave (SW.Diff_P_min).

204. A method according to claim 192, wherein said identifying steps a) and b) include for further analysis single pressure waves having single pressure wave (SW.x)-related parameters within selected criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters.

205. A method according to claim 192, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows with delta single pressure wave (Δ

SW.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

systolic maximum pressure difference between two subsequent single pressure waves (SW.Diff_P_max),

amplitude difference between two subsequent single pressure waves (SW.Diff_dP),

latency difference between two subsequent single pressure waves (SW.Diff_dT),

rise time coefficient difference between two subsequent single pressure waves (SW.Diff_RT),

wave duration difference between two subsequent single pressure waves (SW.Diff_WD), and

mean single wave pressure difference between two subsequent single pressure waves (SW.Diff_Mean_SWP).

206. A method according to claim 192, wherein said identifying steps a) and b) include for further analysis single pressure waves having delta single pressure wave (Δ

SW.x)-related parameters within selected criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters.

207. A method according to claim 192, wherein said identifying steps a) and b) exclude for further analysis time sequence windows with time sequence (TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

mean amplitude of a time sequence window (TS.MeandP),

standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

mean latency of a time sequence window (TS.MeandT),

standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

mean rise time coefficient of a time sequence window (TS.MeanRT),

standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

mean wave duration of a time sequence window (TS.MeanWD),

standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

mean single wave pressure of a time sequence window (TS.Mean_SWP),

standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

mean latency difference of a time sequence window (TS.MeanDiff_dT),

standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT), and

mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

208. A method according to claim 192, wherein said identifying steps a) and b) include for further analysis time sequence windows having time sequence (TS.x)-related parameters within selected criteria for thresholds and ranges of said time sequence (TS.x)-related parameters.

209. A method according to claim 192, wherein said identifying steps a) and b) exclude for further analysis time sequence windows with delta time sequence (Δ

TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

difference of mean values of starting diastolic minimum pressures between two subsequent time sequence windows (Δ

TS.MeanP_min1),

standard deviation of difference of mean values of starting diastolic minimum pressures of two subsequent time sequence windows (Δ

TS.MeanP_min1—

STD),

difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max),

standard deviation of difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max—

STD),

difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

standard deviation of difference of mean amplitudes between two subsequent time sequence windows (Δ

TS.MeandP_STD),

difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

standard deviation of difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT_STD),

difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT),

standard deviation of difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT_STD),

difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD),

standard deviation of difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD_STD),

difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_SWP),

standard deviation of difference of mean single wave pressure of two subsequent time sequence windows (Δ

TS.Mean_SWP_STD),

difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min),

standard deviation of difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min—

STD),

difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max),

standard deviation of difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max—

(STD),

difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP),

standard deviation of difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP_STD),

difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT),

standard deviation of difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT_STD),

difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT),

standard deviation of difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT_STD),

difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD),

standard deviation of difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD_STD),

difference of mean single wave pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP),

standard deviation of difference of mean SW pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP_STD),

difference of single wave count between two subsequent time sequence windows (Δ

TS.SWCount),

difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT), and

difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT).

210. A method according to claim 192, wherein said identifying steps a) and b) include for further analysis time sequence windows having delta time sequence (Δ

TS.x)-related parameters within selected criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters.

211. A method according to 192, wherein said identifying steps a) and b) are applied to each consecutive time sequence window in a continuous series of time sequence windows of a signal.

212. A method according to claim 192, wherein said identifying steps a) and b) further include selecting single pressure waves which occur between two consecutive of said time sequence windows and placing such waves in one or the other of said two consecutive individual time sequence windows according to selected criteria.

213. A method according to claim 212, wherein said selected criteria define that a first of said single pressure waves within said individual time sequence windows must have its ending diastolic minimum pressure value (SW.P_min2) within said individual time sequence window.

214. A method according to claim 212, wherein said selected criteria define that a last of said single pressure waves within said individual time sequence window must have both its starting and ending diastolic minimum pressure values (SW.P_min1 and SW.P_min2) within said individual time sequence window.

215. A method according to claim 192, wherein said computing step c) for included time sequence windows further includes determining said time sequence (TS.x)-related parameters, said parameters selected from the group of:

c1) mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

c2) standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

c3) mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

c4) standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

c5) mean amplitude of a time sequence window (TS.MeandP),

c6) standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

c7) mean latency of a time sequence window (TS.MeandT),

c8) standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

c9) mean rise time coefficient of a time sequence window (TS.MeanRT),

c10) standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

c11) mean wave duration of a time sequence window (TS.MeanWD),

c12) standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

c13) mean single wave pressure of a time sequence window (TS.Mean_SWP),

c14) standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

c15) mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

c16) standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

c17) mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

c18) standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

c19) mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

c20) standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

c21) mean latency difference of a time sequence window (TS.MeanDiff_dT),

c22) standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

c23) mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

c24) standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

c25) mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

c26) standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

c27) mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

c28) standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

c29) numbers of accepted single pressure waves of a time sequence window (TS.SWCount),

c30) mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

c3

     1) mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT),

c32) mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

216. A method according to claim 192, wherein said computing step c) includes determining mean wave amplitude (TS.MeanWavedP) and mean wave latency (TS.MeanWavedT), said determining comprising the steps of creating a first matrix based on determining number of single pressure waves with pre-selected values related to amplitude (SW.dP) and latency (SW.dT), one axis of said first matrix being related to an array of pre-selected values of pressure amplitude (SW.dP) and the other axis of said first matrix being related to an array of pre-selected values of latencies (SW.dT), and indicating for each matrix cell at respective intersections in said first matrix a number of occurrences of matches between a specific pressure amplitude (SW.dP) and a specific latency (SW.dT) related to successive measurements of single pressure waves over said individual time sequence windows.

217. A method according to claim 216, wherein the single pressure wave parameters of amplitude (SW.dP) and latency (SW.dT) are categorized into groups, said groups reflecting ranges of said single wave (SW.dP;

SW.dT) parameter values.

218. A method according to claim 216, wherein the occurrence of matches in said first matrix is indicated through actual number of matches during individual of said time sequence windows.

219. A method according to claim 216, comprising the further step of computing balanced position for a number of occurrences of said single pressure wave (SW.x)-related parameters of amplitude (SW.dP) and latency (SW.dT) values during individual of said time sequences in said first matrix.

220. A method according to claim 219, wherein said balanced position of said first matrix of numbers of amplitude (SW.dP) and latency (SW.dT) combinations corresponds to mean wave amplitude (TS.MeanWavedP) and mean wave latency (TS.MeanWavedT), respectively during said individual time sequence windows.

221. A method according to claim 192, wherein said computing step c) includes determining mean wave rise time coefficient (TS.MeanWaveRT), said determining comprising the steps of creating a second matrix based on determining number of single pressure waves with pre-selected values related to rise time coefficient (SW.RT), the axis in said second matrix being related to an array of pre-selected values of rise time coefficient (SW.RT), and wherein indicating for each matrix cell in said second matrix a number of occurrences of pre-selected rise time coefficients (SW.RT) related to successive measurements of single pressure waves during said individual time sequence windows.

222. A method according to claim 221, wherein the single pressure wave parameter rise time coefficient (SW.RT) is categorized into groups, said groups reflecting ranges of said single wave (SW.RT) parameter values.

223. A method according to claim 221, comprising the further step of computing balanced position for a number of occurrences of said single pressure wave (SW.x)-related parameter rise time coefficient (SW.RT) in said second matrix, to yield an analysis output

224. A method according to claim 223, wherein said balanced position of said second matrix of numbers of rise time coefficient (SW.RT) combinations corresponds to the mean wave rise time coefficient (TS.MeanWaveRT) of said time sequence.

225. A method according to claim 192, wherein said computing step c) includes determining mean amplitude of said time sequence (TS.MeandP), corresponding to the sum of amplitude (SW.dP) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

226. A method according to claim 192, wherein said computing step c) includes determining mean latency of said time sequence (TS.MeandT), corresponding to the sum of latency (SW.dT) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

227. A method according to claim 192, wherein said computing step c) includes determining mean rise time coefficient of said time sequence (TS.MeanRT), corresponding to the sum of rise time coefficient (SW.RT) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

228. A method according to claim 192, wherein said computing step c) includes determining absolute mean single wave pressure of said time sequences (TS.Mean_SWP), corresponding to the sum of mean pressure (SW.Mean_SWP) values for all individual single pressure waves during said time sequence window divided by number of said individual single pressure waves during said individual time sequence window.

229. A method according to claim 228, wherein mean pressure for an individual of said single pressure waves (SW.Mean_SWP) is the sum of sample values during the time of a wave duration, i.e. from starting diastolic minimum pressure (SW.P_min1) to ending diastolic minimum pressure (SW.P_min2) divided by numbers of samples.

230. A method according to claim 192, wherein said computing step c) is performed during each individual of said time sequence windows in a continuous series of said time sequence windows of said pressure-related signal.

231. A method according to claim 192, wherein the duration of each selectable time sequence window lies in a time range of 5-15 seconds.

232. A method according to claim 192, wherein said establishing step d) relates to obtaining an analysis output based on said time sequence (TS.x)-related parameters for a selectable number of said individual time sequence windows.

233. A method according to claim 192, wherein said analysis output is a mean value of mean wave amplitude (TS.MeanWavedP) for a selectable number of said individual time sequence windows.

234. A method according to claim 192, wherein said analysis output is a mean value of mean wave latency (TS.MeanWavedT) for a selectable number of said individual time sequence windows.

235. A method according to claim 192, wherein said analysis output is a mean value of mean wave rise time coefficient (TS.MeanWaveRT) for a selectable number of said individual time sequence windows.

236. A method according to claim 192, wherein said analysis output is a mean value of mean amplitude (TS.MeandP) for a selectable number of said individual time sequence windows.

237. A method according to claim 192, wherein said analysis output is a mean value of mean latency (TS.MeandT) for a selectable number of said individual time sequence windows.

238. A method according to claim 192, wherein said analysis output is a mean value of mean rise time coefficient (TS.MeanRT) for a selectable number of said individual time sequence windows.

239. A method according to claim 192, wherein said method for processing continuous pressure-related signals is performed by a processing unit, said processing unit delivering a first control signal to a regulator, said first control signal being determined according to one or more selectable criteria for said analysis output.

240. A method according to claim 192, wherein features of said first control signal are selectable when said analysis output, which is derivable from a recording, meets one or more of selectable criteria.

241. A method according to claim 192, wherein said one or more selectable criteria for said analysis output relate to criteria for regulating a mode of function of a shunt valve opening.

242. A method according to claim 192, wherein said selectable criteria relate to selectable thresholds for time sequence (TS.x)-related parameters, said parameters selected from the group of:

mean wave amplitude (TS.MeanWavedP), mean wave latency (TS.MeanWavedT), mean wave rise time coefficient (TS.MeanWaveRT), mean amplitude (TS.MeandP), mean latency (TS.MeandT), and mean rise time coefficient (TS.MeanRT).

243. A method according to claim 192, wherein said selectable criteria are determined on basis of analysis output of a selectable number of individual time sequence windows in a continuous series of said time sequence windows.

244. A method according to claim 192, wherein any control signal level of said second deliverable control signal is related to said analysis output for a selectable number of said time sequence windows, said control signal level determining the function mode or a valve-opening regulator.

245. A method according to claim 192, wherein said human or animal body pressure signals are related to one or more of:

intracranial pressure, cerebrospinal fluid pressure, and arterial blood pressure.

246. A method according to claim 192, wherein said method for processing continuous pressure-related signals is independent on said locations, said locations being starting points of said continuous pressure-related signals.

247. A system for processing continuous pressure-related signals derivable from one or more sensor(s) having location(s) inside or outside a body or body cavity of a human being, said system comprising:

a) means for on basis of said signals receivable from said sensor(s) via pressure transducer means to control drainage fluid flow rate from a first body cavity to a second body cavity in one said human,

b) a processing device in said system having means for processing said signals, said processing means including sampling means for sampling said signals at specific intervals,

c) converter means for converting the sampled signals into pressure related digital data with a time reference,

d) means for during selectable time sequence windows identifying from said digital data single pressure waves related to cardiac beat-induced pressure waves, related to artifacts, or a combination of cardiac beat-induced waves and artifacts,

e) means for computing and analyzing said digital data during said selectable time sequence windows,

f) means for outputting to device terminal means one or more pressure parameter signals related to a selectable number of said time sequence windows;

f1) mean wave amplitude (TS.MeanWavedP),

f2) mean wave latency (TS.MeanWavedT),

f3) mean wave rise time coefficient (TS.MeanWaveRT),

f4) mean amplitude (TS.MeandP),

f5) mean latency (TS.MeandT),

f6) mean rise time coefficient (TS.MeanRT),

f7) mean single wave pressure (TS.Mean_SWP), and

g) a valve device controlling the drainage fluid flow rate and connectable to said body cavities,

h) regulator unit means connectable to said terminal means for receiving at least one of said parameter signals, said regulator unit means being capable of establishing a device performance modifying signal by means of one of said pressure parameter signals or a combination effect obtained from using at least two of said pressure parameter signals, wherein said performance modifying signal deliverable from said regulator unit being capable of controlling said drainage fluid flow rate through said valve device by input to a valve-opening regulator.

248. A system according to claim 247, wherein said sensor location provides for sensing pressure-related signals from a brain body cavity.

249. A system according to claim 247, wherein said sensor location provides for sensing pressure-related signals from a spinal body cavity.

250. A system according to claim 247, wherein said first body cavity relates to a brain body cavity.

251. A system according to claim 247, wherein said first body cavity relates to a spinal body cavity.

252. A system according to claim 247, wherein said second body cavity relates to a thoracic body cavity.

253. A system according to claim 247, wherein said second body cavity relates to an abdominal body cavity.

254. A system according to claim 247, wherein said system is locatable below a skin surface of said human body in a thoracic or abdominal body area.

255. A system according to claims 247, wherein said system incorporates a power supply locatable below skin surface of said human being.

256. A system according to claim 247, wherein said system incorporates transferable means enabling information transferal through skin of said human being, said information being deliverable to an external processing unit, said information including one or more of power supply power status, valve device performance data, parameter signals available or used

257. A system according to claim 247, wherein said performance modifying signal is a function of pressure parameter signals, said function being related to selectable criteria for said pressure parameter signals.

258. A device for use in sensing continuous pressure-related signals derivable from locations inside or outside a human or animal body or body cavity, comprising

a pressure sensor with a pressure sensing element,

a pressure transducer capable of transforming said pressure-related signals into digital pressure-related signals,

a processing unit with input means for receiving said pressure-related digital signals, said processing unit providing at output means thereof one or more of the following time sequence parameters during selectable time sequence windows of said pressure-related signals:

mean wave amplitude (TS.MeanWavedP),

mean wave latency (TS.MeanWavedT),

mean wave rise time coefficient (TS.MeanWaveRT),

mean amplitude (TS.MeandP),

mean latency (TS.MeandT),

mean rise time coefficient (TS.MeanRT),

mean single wave pressure (TS.Mean_SWP),

a display unit connected to said output means for selectively displaying said one or more parameters, and

means for supplying power to power consuming parts of the device.

259. A device according to claim 258, wherein said pressure sensor, said pressure transducer, said processing unit, said output means, said display unit and said means for supplying power together constitute a single physical unit

260. A device according to claim 258, wherein said pressure transducer, said processing unit, said output means, said display unit and said means for supplying power together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

261. A device according to claim 260, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable below or on a skin surface of said human or animal body or spaced externally from said skin surface.

262. A device according to claim 258, wherein said device further includes parameter data storage means and parameter selection control means.

263. A device according to claim 262, wherein said pressure sensor, said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power, said parameter storage means, and said parameter selection control means together constitute a single physical unit forming a display device.

264. A device according to claim 262, wherein said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power, said parameter storage means, and said parameter selection control means together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

265. A device according to claim 264, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

266. A device according to claim 258, wherein said device further includes information transfer means.

267. A device according to claim 266, wherein an external unit is connectable to an output on said information transfer means.

268. A device according to claim 266, wherein said pressure sensor, said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power, said parameter data storage means, said parameter selection control means and said information transfer means together constitute a single physical unit forming a display device.

269. A device according to claim 266, wherein said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power, said parameter data storage means, said parameter selection control means and said information transfer means together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

270. A device according to claim 269, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

271. A device according to claim 258, wherein said pressure sensor is configured to be located inside a human or animal body or body cavity.

272. A device according to claim 258, wherein said pressure sensor is configured to be located outside a human or animal body or body cavity.

273. A device according to claim 258, wherein said sensor is configured for measuring pressures within a fluid.

274. A device according to claim 258, wherein said pressure sensor is configured for measuring pressures within a solid tissue.

275. A device according to claim 267, wherein said means for supplying power receives power from said external unit.

276. A device according to claim 258, wherein said means for supplying power is a battery.

277. A device according to claim 276, wherein said battery is a rechargeable battery.

278. A device according to claim 258, wherein said device provides a complete sensor, pressure analysis display system.

279. A device according to claim 258, wherein said transferal of information is from said information transfer means to an external unit and related to visual display of said information, and wherein said external unit is a multi-parameter vital signs monitor.

280. A device for use in sensing continuous pressure-related signals derivable from locations inside or outside a human or animal body or body cavity, comprising

a pressure sensor with a pressure sensing element,

a pressure transducer capable of transforming said pressure-related signals into digital pressure-related signals,

a processing unit with input means for receiving said pressure-related digital signals, said processing unit providing at output means thereof one or more of the following time sequence parameters during selectable time sequence windows of said pressure-related signals:

mean wave amplitude (TS.MeanWavedP),

mean wave latency (TS.MeanWavedT),

mean wave rise time coefficient (TS.MeanWaveRT),

mean amplitude (TS.MeandP),

mean latency (TS.MeandT),

mean rise time coefficient (TS.MeanRT),

mean single wave pressure (TS.Mean_SWP),

information transfer means connected to said output means and enabling transferal of information to an external unit of at least said one or more parameters, and

means for supplying power to power consuming parts within the device.

281. A device according to claim 280, wherein said pressure sensor, said pressure transducer, said processing unit, said output means, said information transfer means and said means for supplying power together constitute a single physical unit.

282. A device according to claim 280, wherein said pressure transducer, said processing unit, said output means, said information transfer means and said means for supplying power together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input linked to said pressure transducer.

283. A device according to claim 282, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable below or on a skin surface of said human or animal body or spaced externally from said skin surface.

284. A device according to claim 280, wherein said device further includes a display unit connected to said output means of said processing unit or linking said output means with said information transfer means.

285. A device according to claim 284, wherein said pressure sensor, said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power and said information transfer means together constitute a single physical unit forming a sensor device.

286. A device according to claim 284, wherein said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power and said information transfer means together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

287. A device according to claim 286, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

288. A device according to claim 284, wherein said device further includes parameter data storage means and parameter selection control means.

289. A device according to claim 288, wherein said pressure sensor, said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power, said parameter data storage means, said parameter selection control means and said information transfer means together constitute a single physical unit forming a sensor device.

290. A device according to claim 288, wherein said pressure transducer, said processing unit, said output means, said display unit, said means for supplying power, said parameter data storage means, said parameter selection control means and said information transfer means together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

291. A device according to claim 290, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

292. A device according to claim 280, wherein said pressure sensor is configured to be located inside a human or animal body or body cavity.

293. A device according to claim 280, wherein said pressure sensor is located outside a human or animal body or body cavity.

294. A device according to claim 280, wherein said pressure sensor is configured for measuring pressures within a fluid.

295. A device according to claim 280, wherein said sensor is configured for measuring pressures within a solid tissue.

296. A device according to claim 280, wherein said means for supplying power receives power from said external unit.

297. A device according to claim 280, wherein said means for supplying power supply is battery.

298. A device according to claim 297, wherein said battery is a rechargeable battery.

299. A device according to claim 280, wherein said transferal of information to an external unit relates to visual display of said information, and wherein said external unit is a multi-parameter vital signs monitor.

300. A system for processing continuous pressure-related signals derivable from one or more sensor(s) having location(s) inside or outside a body or body cavity of a human being or animal, said system comprising:

means for on basis of said signals receivable from said sensor(s) via pressure transducer means to display output of said processing, and

a processing unit in said system having means for processing said signals, said processing means including;

a) sampling means for sampling said signals receivable from said pressure transducer means at specific intervals,

b) converter means for converting the sampled signals received from said sampling means into pressure related digital data with a time reference,

c) identifying means for during selectable time sequence windows identifying from said digital data output from said converter means single pressure waves related to cardiac beat-induced pressure waves, related to artifacts, or a combination of cardiac beat-induced waves and artifacts,

d) computing means for computing time sequence parameters from included or selected time sequence windows output from said identifying means,

e) analyzing means for analyzing said time sequence parameters in the form of digital data related to said selectable time sequence windows,

f) output means for outputting to device terminal means one or more pressure parameters related to a selectable number of said time sequence windows;

f1 ) mean wave amplitude (TS.MeanWavedP),

f2) mean wave latency (TS.MeanWavedT),

f3) mean wave rise time coefficient (TS.MeanWaveRT),

f4) mean amplitude (TS.MeandP),

f5) mean latency (TS.MeandT),

f6) mean rise time coefficient (TS.MeanRT),

f7) mean single wave pressure (TS.Mean_SWP), and

g) means for supplying power to power consuming parts within the system.

301. A system according to 300, wherein a display unit is linked to said output means, and is connected to said device terminal means.

302. A system according to claim 301, wherein said pressure sensor, said pressure transducer, said processing unit, said display unit and said means for supplying power together constitute a single physical unit.

303. A system according to claim 301, wherein said pressure transducer, said processing unit, said display and said means for supplying power together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input linked to said pressure transducer.

304. A system according to claim 303, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

305. A system according to claim 300, wherein said output means is cooperative with parameter data storage means, and parameter selection control means.

306. A system according to claim 305, wherein said pressure sensor, said pressure transducer, said processing unit, said display unit, said means for supplying power, said parameter storage means, and said parameter selection control means together constitute a single physical unit forming a sensor and display device.

307. A system according to claim 305, wherein said pressure transducer, said processing unit, said display unit, said means for supplying power, said parameter storage means, and said parameter selection control means together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

308. A system according to claim 307, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

309. A system according to claim 300, wherein said output means is cooperative with information transfer means, enabling said analysis output from said output means to be displayable on an external unit.

310. A system according to claim 301, wherein said output means is cooperative with parameter data storage means, parameter selection control means, and is further cooperative with information transfer means, said information transfer means enabling analysis output from said output means to be displayable on an external unit.

311. A system according to claim 310, wherein said pressure sensor, said pressure transducer, said processing unit, said display unit, said means for supplying power, said parameter data storage means, said parameter selection control means and said information transfer means together constitute a single physical unit forming a display and sensor device.

312. A system according to claim 310, wherein said pressure transducer, said processing unit, said display unit, said means for supplying power, said parameter data storage means, said parameter selection control means and said information transfer means together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

313. A system according to claim 312, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

314. A system according to claim 309, wherein said pressure sensor, said pressure transducer, said processing unit, said information transfer means and said means for supplying power together constitute a single physical unit forming a sensor device.

315. A system according to claim 309, wherein said pressure transducer, said processing unit, said information transfer means and said means for supplying power together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input linked to said pressure transducer.

316. A system according to claim 300, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable on a skin surface of said human or animal body or spaced externally therefrom.

317. A system according to claim 300, wherein said output means further includes a display unit connected to said output means of said processing unit or linking said output means with said information transfer means.

318. A system according to claim 301, further wherein information transfer means is linked to said output means.

319. A system according to claim 318, wherein said pressure sensor, said pressure transducer, said processing unit, said display unit, said means for supplying power and said information transfer means together constitute a single physical unit forming a sensor device.

320. A system according to claim 318, wherein said pressure transducer, said processing unit, said display unit, said means for supplying power and said information transfer means together constitute a single physical unit, and wherein the pressure sensor is connectable to said single physical unit at an input thereof linked to said pressure transducer.

321. A system according to claim 320, wherein said pressure sensor is configured to be located in tissue or body cavity or enclosed fluid flow part of said human or animal body, and wherein said single physical unit of said device is locatable below or on a skin surface of said human or animal body or spaced externally from the skin surface.

322. A system according to claim 300, wherein said pressure sensor is configured to be located inside a human or animal body or body cavity.

323. A system according to claim 300, wherein said pressure sensor is configured to be located outside on a human or animal body or body cavity.

324. A system according to claim 300, wherein said pressure sensor is configured for measuring pressures within a fluid.

325. A device according to claim 300, wherein said pressure sensor is configured for measuring pressures within a solid tissue.

326. A device according to claim 309, wherein said means for supplying power receives power from said external unit.

327. A system according to claim 300, wherein said means for supplying power supply is battery.

328. A system according to claim 300, wherein said battery is a rechargeable battery.

329. A system according to claim 309, wherein said transferal of information from said information transfer means to an external unit relates to visual display of said information, and wherein said external unit is a multi-parameter vital signs monitor.

330. A method for processing continuous pressure-related signals derivable from locations inside or outside a human or animal body or body cavity, comprising the steps of obtaining samples of said signals at specific intervals, and converting thus sampled pressure signals into pressure-related digital data with a time reference,

wherein for selectable time sequence windows the method comprises the further steps of:

a) identifying from said digital data single pressure waves related to cardiac beat-induced pressure waves,

b) identifying from said digital data pressure waves related to artifacts or a combination of artifacts and cardiac beat-induced pressure waves,

c) computing time sequence (TS.x)-related parameters of said single pressure waves during individual of said time sequence windows,

d) adjusting said time sequence (TS.x)-related parameters of said single pressure waves during individual of said time sequence windows using formula-based adjustments based on related time sequence (rTS.x) parameters,

e) creating from said formula-based adjustments factorized time sequence (fTS.x) parameters of said individual time sequence windows of said continuous pressure-related signals, and

f) establishing an analysis output selected from one or more of said factorized time sequence (fTS.x)-related parameters of said single pressure waves during individual of said time sequence windows.

331. A method according to claim 330, wherein said pressure-related signals relate to human or animal body pressures elected from one or more of:

intracranial pressure, arterial blood pressure, or ocular pressure.

332. A method according to claim 330, wherein said method for processing continuous pressure-related signals is independent of said locations, said locations being starting points of said continuous pressure-related signals.

333. A method according to claim 330, wherein said pressure-related signals are transcranial Doppler signals, being transformable into pressure-related signals indicative of intracranial pressure signals.

334. A method according to claim 330, wherein said pressure related signals are cranial impedance-related signals, being transformable into pressure-related signals indicative of intracranial pressure signals.

335. A method according to claim 330, wherein said pressure related signals are related to air pressure signals derivable from within outlet-sealed outer ear channel of a human or animal, said air pressure signals being transformable into pressure-related signals indicative of intracranial pressure signals.

336. A method according to claim 330, wherein said pressure related signals are fontanel applanation pressure signals, being transformable into pressure-related signals indicative of intracranial pressure signals.

337. A method according to claim 330, wherein said pressure related signals are ocular applanation pressure signals, being transformable into pressure-related signals indicative of intra-ocular pressure signals.

338. A method according to claim 330, wherein said pressure related signals are arterial applanation pressure signals, being transformable into pressure-related signals indicative of intra-arterial pressure signals.

339. A method according to claim 330, wherein each of said samples contains a pressure value at a specific time.

340. A method according to claim 330, wherein a pressure signal refers to a number of sequential and available pressure-related samples during a time period.

341. A method according to claim 330, wherein each of said selectable time sequence windows is a selected time frame of said pressure-related digital data with a time reference.

342. A method according to claim 341, wherein said selected time frame lies in the range 5-15 seconds.

343. A method according to claim 330, wherein each of said selectable time sequence windows is related to a number of time-related sequential pressure samples, each sample identifiable by a sample number and elapsed time determined by sample location number and sample frequency.

344. A method according to anyone of claim 330, wherein the method is applied to each of said time sequence windows in a continuous series of said time sequence windows during a recording.

345. A method according to claim 330, wherein said identifying steps a) and b) include identification of peaks and valleys in said sampled signal.

346. A method according to claim 345, wherein each of said peaks is a sample with a pressure value and a time stamp or location, and each of said valleys is a sample with a pressure value and a time stamp or location.

347. A method according to claim 330, wherein said identifying steps a) and b) include identification of included pair combinations of peaks and valleys in said signal.

348. A method according to claim 330, wherein said identifying steps a) and b) include identification of included pair combinations of valleys and peaks in said signal, corresponding to included pair combinations of diastolic minimum pressure (SW.P_min1) and systolic maximum pressure (SW.P_max), characterizing single pressure waves created by the cardiac beat-induced pressure waves.

349. A method according to claim 330, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows which exhibit single pressure wave (SW.x)-related parameters being outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

starting diastolic minimum pressure defining the start of the single pressure wave (SW.P_min1),

ending diastolic minimum pressure defining the end of the single pressure wave (SW.P_min2),

systolic maximum pressure of the single pressure wave (SW.P_max,),

amplitude of the single pressure wave (SW.dP),

latency of the single pressure wave (SW.dT),

rise time coefficient of the single pressure wave (SW.RT),

wave duration of the single pressure wave (SW.WD),

mean single wave pressure of the single pressure wave (SW.Mean_SWP), and

diastolic minimum pressure difference of the single pressure wave (SW.Diff_P_min).

350. A method according to claim 330, wherein said identifying steps a) and b) include for further analysis single pressure waves having single pressure wave (SW.x)-related parameters within selected criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters.

351. A method according to claim 330, wherein said identifying steps a) and b) exclude for further analysis pressure waves during said time sequence windows which exhibit delta single pressure wave (Δ

SW.x)-related parameters being outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

systolic maximum pressure difference between two subsequent single pressure waves (Δ

SW.Diff_P_max),

amplitude difference between two subsequent single pressure waves (Δ

SW.Diff_dP),

latency difference between two subsequent single pressure waves (Δ

SW.Diff_dT),

rise time coefficient difference between two subsequent single pressure waves (Δ

SW.Diff_RT),

wave duration difference between two subsequent single pressure waves (Δ

SW.Diff_WD), and

mean single wave pressure difference between two subsequent single pressure waves (Δ

SW.Diff_Mean_SWP).

352. A method according to claim 330, wherein said identifying steps a) and b) include for further analysis single pressure waves having delta single pressure wave (Δ

SW.x)-related parameters within selected criteria for thresholds and ranges of said delta single pressure wave (Δ

SW.x)-related parameters.

353. A method according to claim 330, wherein said identifying steps a) and b) exclude for further analysis time sequence windows exhibiting time sequence (TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of:

mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

mean amplitude of a time sequence window (TS.MeandP),

standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

mean latency of a time sequence window (TS.MeandT),

standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

mean rise time coefficient of a time sequence window (TS.MeanRT),

standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

mean wave duration of a time sequence window (TS.MeanWD),

standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

mean single wave pressure of a time sequence window (TS.Mean_SWP),

standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

standard deviation of mean amplitude difference of a time sequence window (TS.MeanDiff_dP_STD),

mean latency difference of a time sequence window (TS.MeanDiff_dT),

standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

number of accepted single pressure waves of a time sequence window (TS.SWCount),

mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT), and

mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

354. A method according to claim 330, wherein said identifying steps a) and b) include for further analysis time sequence windows having time sequence (TS.x)-related parameters within selected criteria for thresholds and ranges of said time sequence (TS.x)-related parameters.

355. A method according to claim 330, wherein said identifying steps a) and b) exclude for further analysis time sequence windows exhibiting delta time sequence (Δ

TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, said parameters selected from the group of;

difference of mean values of starting diastolic minimum pressures between two subsequent time sequence windows (Δ

TS.MeanP_min1),

standard deviation of difference of mean values of starting diastolic minimum pressures of two subsequent time sequence windows (Δ

TS.MeanP_min1—

STD),

difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max),

standard deviation of difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max—

STD),

difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

standard deviation of difference of mean amplitudes between two subsequent time sequence windows (Δ

TS.MeandP_STD),

difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

standard deviation of difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT_STD),

difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT),

standard deviation of difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT_STD),

difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD),

standard deviation of difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD_STD),

difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_SWP),

standard deviation of difference of mean single wave pressure of two subsequent time sequence windows (Δ

TS.Mean_SWP_STD),

difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min),

standard deviation of difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min—

STD),

difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max),

standard deviation of difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max—

STD),

difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP),

standard deviation of difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP_STD),

difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT),

standard deviation of difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT_STD),

difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT),

standard deviation of difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT_STD),

difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD),

standard deviation of difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD_STD),

difference of mean single wave pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP),

standard deviation of difference of mean SW pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP_STD),

difference of single wave count between two subsequent time sequence windows (Δ

TS.SWCount),

difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT), and

difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT).

356. A method according to claim 330, wherein said identifying steps a) and b) include for further analysis time sequence windows having delta time sequence (Δ

TS.x)-related parameters within selected criteria for thresholds and ranges of said delta time sequence (Δ

TS.x)-related parameters.

357. A method according to 330, wherein said identifying steps a) and b) are applied to each consecutive time sequence window in a continuous series of time sequence windows of a signal.

358. A method according to claim 330, wherein said identifying steps a) and b) further include selecting single pressure waves which occur between two consecutive of said time sequence windows and placing such waves in one or the other of said two consecutive individual time sequence windows according to selected criteria.

359. A method according to claim 330, wherein said selected criteria define that a first of said single pressure waves within said individual time sequence window must have its ending diastolic minimum pressure value (SW.P_min2) within said individual time sequence window.

360. A method according to claim 330, wherein said selected criteria define that a last of said single pressure waves within said individual time sequence window must have both its starting and ending diastolic minimum pressure values (SW.P_min1 and SW.P_min2) within said individual time sequence window.

361. A method according to claim 330, wherein said computing step c) for included time sequence windows further includes determining said time sequence (TS.x)-related parameters, said parameters selected from the group of:

c1) mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

c2) standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

c3) mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

c4) standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

c5) mean amplitude of a time sequence window (TS.MeandP),

c6) standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

c7) mean latency of a time sequence window (TS.MeandT),

c8) standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

c9) mean rise time coefficient of a time sequence window (TS.MeanRT),

c10) standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

c11) mean wave duration of a time sequence window (TS.MeanWD),

c12) standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

c13) mean single wave pressure of a time sequence window (TS.Mean_SWP),

c14) standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

c15) mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

c16) standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

c17) mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

c18) standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

c19) mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

c20) standard deviation of mean amplitude difference of a time sequence (TS.MeanDiff_dP_STD),

c21) mean latency difference of a time sequence window (TS.MeanDiff_dT),

c22) standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

c23) mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

c24) standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

c25) mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

c26) standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

c27) mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

c28) standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

c29) number of accepted single pressure waves of a time sequence window (TS.SWCount),

c30) mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

c31) mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT),

c32) mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

362. A method according to claim 330, wherein said computing step c) includes the step c1) of determining mean wave amplitude (TS.MeanWavedP) and mean wave latency (TS.MeanWavedT), said determining step c1) comprising the steps of:

c1.1) creating a first matrix based on determining number of single pressure waves with pre-selected values related to amplitude (SW.dP) and latency (SW.dT), one axis of said first matrix being related to an array of pre-selected values of pressure amplitude (SW.dP) and the other axis of said first matrix being related to an array of pre-selected values of latencies (SW.dT), and c1.2) indicating for each matrix cell at respective intersections in said first matrix a number of occurrences of matches between a specific pressure amplitude (SW.dP) and a specific latency (SW.dT) related to successive measurements of single pressure waves over said individual time sequence windows.

363. A method according to claim 362, wherein the single pressure wave parameters of amplitude (SW.dP) and latency (SW.dT) are categorized into groups, said groups reflecting ranges of said single wave (SW.x)-related parameter values.

364. A method according to claim 362, wherein the occurrence of matches in said first matrix is indicated through actual number of matches during individual of said time sequence windows.

365. A method according to claim 363, comprising the further step of computing balanced position for a number of occurrences of said single pressure wave (SW.x)-related parameters of amplitude (SW.dP) and latency (SW.dT) values during individual of said time sequences in said first matrix.

366. A method according to claim 365, wherein said balanced position of said first matrix of numbers of amplitude (SW.dP) and latency (SW.dT) combinations corresponds to mean wave amplitude (TS.MeanWavedP) and mean wave latency (TS.MeanWavedT), respectively during said individual time sequence windows.

367. A method according to claim 330, wherein said computing step c) includes the step c2) of determining mean wave rise time coefficient (TS.MeanWaveRT), said determining step c2) comprising the steps of c2. 1) creating a second matrix based on determining number of single pressure waves with pre-selected values related to rise time coefficient (SW.RT), the axis in said second matrix being related to an array of pre-selected values of rise time coefficient (SW.RT), and indicating c2.2) for each matrix cell in said second matrix a number of occurrences of pre-selected rise time coefficients (SW.RT) related to successive measurements of single pressure waves during said individual time sequence windows.

368. A method according to claim 367, wherein the single pressure wave parameter rise time coefficient (SW.RT) is categorized into groups, said groups reflecting ranges of said single wave (SW.RT) parameter values.

369. A method according to claim 367, comprising the further step c2.3) of computing balanced position for a number of occurrences of said single pressure wave (SW.x)-related parameter rise time coefficient (SW.RT) in said second matrix, to yield an analysis output.

370. A method according to claim 369, wherein said balanced position of said second matrix of numbers of rise time coefficient (SW.RT) combinations corresponds to the mean wave rise time coefficient (TS.MeanWaveRT) of said time sequence window.

371. A method according to claim 330, wherein said computing step c) yields a parameter mean amplitude of said time sequence window (TS.MeandP), said parameter mean amplitude corresponding to a sum of amplitude (SW.dP) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

372. A method according to claim 330, wherein said computing step c) yields analysis output related to a parameter mean latency of said time sequence window (TS.MeandT), said parameter mean latency corresponding to a sum of latency (SW.dT) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

373. A method according to claim 330, wherein said computing step c) yields analysis output related to a parameter mean rise time coefficient of said time sequence window (TS.MeanRT) corresponding to a sum of rise time coefficient (SW.RT) values for all individual single pressure waves during said time sequence window divided by the number of said individual single pressure waves during said individual time sequence window.

374. A method according to claim 330, wherein said computing step c) yields analysis output related to a parameter absolute mean single wave pressure of said time sequences (TS.Mean_SWP) corresponding to a sum of mean pressure (SW.Mean_SWP) values for all individual single pressure waves during said time sequence window divided by number of said individual single pressure waves during said individual time sequence window.

375. A method according to claim 330, wherein mean pressure value for an individual of said single pressure waves (SW.Mean_SWP) is a sum of sample values during the time of a wave duration, i.e. from starting diastolic minimum pressure (SW.P_min1) to ending diastolic minimum pressure (SW.P_min2) divided by number of samples.

376. A method according to claim 330, wherein said related time sequence (rTS.x) parameters can be selected from the group of:

relationship of mean values of starting diastolic minimum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.P_min1),

relationship of standard deviation of mean values of starting diastolic minimum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanP_min1—

STD),

relationship of mean values of systolic maximum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanP_max),

relationship of standard deviation of mean values of systolic maximum pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanP_max—

STD),

relationship of mean amplitude values of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeandP),

relationship of standard deviation of mean amplitude of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeandP_STD),

relationship of mean latency of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeandT),

relationship of standard deviation of mean latency of two or more perfect time sequence windows from two or more two different pressure signals (rTS.MeandT_STD),

relationship of mean rise time coefficient of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanRT),

relationship of standard deviation of mean rise time coefficient of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanRT_STD),

relationship of mean wave duration of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWD),

relationship of standard deviation of mean wave duration of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWD_STD),

relationship of mean single wave pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.Mean_SWP),

relationship of standard deviation of mean single wave pressure of two or more perfect time sequence windows from two or more different pressure signals (rTS.Mean_SWP_STD),

relationship of mean diastolic minimum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_min),

relationship of standard deviation of mean diastolic minimum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_min—

STD),

relationship of mean systolic maximum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_max),

relationship of standard deviation of mean systolic maximum pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_P_max—

STD),

relationship of mean amplitude difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dP),

relationship of standard deviation of mean amplitude difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dP_STD),

relationship of mean latency difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dT),

relationship of standard deviation of mean latency difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_dT_STD),

relationship of mean rise time coefficient difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_RT),

relationship of standard deviation of mean rise time coefficient difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_RT_STD),

relationship of mean wave duration difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_WD),

relationship of standard deviation of mean wave duration difference of two or more perfect time sequence windows from two or more two different pressure signals (rTS.MeanDiff_WD_STD),

relationship of mean single wave pressure difference of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanDiff_Mean_SWP),

relationship of standard deviation of mean single wave pressure difference of two or more perfect time sequence windows from two or more two different pressure signals (rTS.MeanDiff_Mean_SWP_STD),

relationship of single wave count of two or more perfect time sequence windows from two or more different pressure signals (rTS.SWCount),

relationship of mean wave amplitude of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWavedP),

relationship of mean wave latency of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWavedT), and

relationship of mean wave rise time coefficient of two or more perfect time sequence windows from two or more different pressure signals (rTS.MeanWaveRT).

377. A method according to claim 376, wherein said perfect time sequence windows imply time sequences accepted after application of very strict criteria.

378. A method according to claim 330, wherein said formula-based adjustments based on related time sequence (rTS.x) parameters refer to constant relationships and/or formula-based relationships between identical time sequence (TS.x)-related parameters.

379. A method according to claim 330, wherein said formula-based adjustments of time sequence (TS.x)-related parameters relate to multiplication of the pressure scale of said individual time sequence windows of said pressure-related signal with a given constant factor value derived from the related time sequence (rTS.x) parameters.

380. A method according to claim 330, wherein said formula-based adjustments of time sequence (TS.x)-related parameters relate to adjustment of the pressure scale of said individual time sequence windows of said pressure-related signal according to a formula-based relationship derived from the related time sequence (rTS.x) parameters.

381. A method according to claim 330, wherein said related time sequence (rTS.x) parameters are derived from a database, and represent a historical material of known relationships.

382. A method according to claim 330, wherein said related time sequence (rTS.x) parameters are determined for a population of recordings, said population including selectable recordings, each including one or more simultaneous continuous pressure-related signals.

383. A method according to claim 382, wherein said population of recordings is categorized according to signal type.

384. A method according to claim 382, wherein said population of recordings enables determination of population-based formulas for said related time sequence (rTS.x)-related parameters.

385. A method according to claim 330, wherein said factorized time sequence (fTS.x) parameters of step e) are selected from the group of:

factorized mean value of starting diastolic minimum pressure of a time sequence window (fTS.MeanP_min1),

factorized standard deviation of mean value of starting diastolic minimum pressure of a time sequence window (fTS.MeanP_min1—

STD),

factorized mean value of systolic maximum pressure of a time sequence window (fTS.MeanP_max),

factorized standard deviation of mean value of systolic maximum pressure of a time sequence window (fTS.MeanP_max—

STD),

factorized mean amplitude of a time sequence window (fTS.MeandP),

factorized standard deviation of mean amplitude of a time sequence window (fTS.MeandP_STD),

factorized mean latency of a time sequence window (fTS.MeandT),

factorized standard deviation of mean latency of a time sequence window (fTS.MeandT_STD),

factorized mean rise time coefficient of a time sequence window (fTS.MeanRT),

factorized standard deviation of mean rise time coefficient of a time sequence window (fTS.MeanRT_STD),

factorized mean wave duration of a time sequence window (fTS.MeanWD),

factorized standard deviation of mean wave duration of a time sequence window (fTS.MeanWD_STD),

factorized mean single wave pressure of a time sequence window (fTS.Mean_SWP),

factorized standard deviation of mean single wave pressure of a time sequence window (fTS.Mean_SWP_STD),

factorized mean value of diastolic minimum pressure difference of a time sequence window (fTS.MeanDiff_P_min),

factorized standard deviation of mean value of diastolic minimum pressure difference of a time sequence window (fTS.MeanDiff_P_min—

STD),

factorized mean value of systolic maximum pressure difference of a time sequence window (fTS.MeanDiff_P_max),

factorized standard deviation of mean value of systolic maximum pressure difference of a time sequence window (fTS.MeanDiff_P_max—

STD),

factorized mean amplitude difference of a time sequence window (fTS.MeanDiff_dP),

factorized standard deviation of mean amplitude difference of a time sequence window (fTS.MeanDiff_dP_STD),

factorized mean latency difference of a time sequence window (fTS.MeanDiff_dT),

factorized standard deviation of mean latency difference of a time sequence window (fTS.MeanDiff_dT_STD),

factorized mean rise time coefficient difference of a time sequence window (fTS.MeanDiff_RT),

factorized standard deviation of mean rise time coefficient difference of a time sequence window (fTS.MeanDiff_RT_STD),

factorized mean wave duration difference of a time sequence window (fTS.MeanDiff_WD),

factorized standard deviation of mean wave duration difference of a time sequence window (fTS.MeanDiff_WD_STD),

factorized standard deviation of mean single wave pressure difference of a time sequence window (fTS.MeanDiff_Mean_SWP_STD),

factorized amplitude of the mean wave of a time sequence window (fTS.MeanWavedP),

factorized latency of the mean wave of a time sequence window (fTS.MeanWavedT), and

factorized rise time coefficient of the mean wave of a time sequence window (fTS.MeanWaveRT).

386. A method according to claim 330, wherein said creating step f) yields output of factorized time sequence (fTS.x) parameters of said individual time sequence windows in a continuous series of said time sequence windows of said pressure-related signal.

387. A method according to claim 330, wherein the duration of each selectable time sequence window lies in a time range of 5-15 seconds.

388. A method according to claim 330, wherein said creating step f) yields output of factorized time sequence (fTS.x) parameteres of said individual time sequence windows as numerical values during ongoing sampling of said pressure-related signals.