Method for processing of continuous pressure-related signals derivable from a human or animal body or body cavity

• US 8,133,183 B2
• Filed: 10/24/2008
• Issued: 03/13/2012
• Est. Priority Date: 07/21/2004
• Status: Active Grant

• Current Assignee: Dpcom As
• Original Assignee: Dpcom As
• Inventors: Eide, Per Kristian
• Primary Examiner(s): Le, Miranda
• Assistant Examiner(s): TOTH, KAREN E
• Application Number:
  US12/289,309
• Publication Number:
  US 20090062688A1
• Time in Patent Office: 1,236 Days
• Field of Search: 600/300, 600/561, 600/481
• US Class Current: 600/481
• 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

This invention describes methods for processing pressure signals derivable from locations inside or outside a human or animal body or body cavity. The major aspect of the invention relates to methods for obtaining new and improved information from said pressure signals. The analysis output of said method may be presented in a variety of ways such as numerical values; trend plots of numerical values, histogram presentations or as a quantitative matrix, the presentation as a quantitative matrix is highlighted. Thereby completely new information about pressures is obtained. In particular, information about intracranial compliance is derived from the intracranial pressure (ICP) signal itself.

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 further comprises:

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 by a processing unit either c1) time sequence (TS.x)-related parameters of said single pressure waves during individual of said time sequence windows, or c2) delta time sequence (Δ

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

1;

n) of 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 a previous TS[n−

1].x in time n−

1 of said individual time sequence window, and

d) establishing and presenting on a display device an analysis output selected from one or more parameters of said computed c1) time sequence (TS.x)-related parameters of said single pressure waves or of said computed c2) delta time sequence (Δ

TS.x)-related parameters of said single pressure waves;

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).

d8) difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

d9) difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT),

d10) difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT),

d11) difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

d12) difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

d13) difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT), and

d14) difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_swP)

wherein said identifying steps a) and b) prevent further analysis of the pressure waves related to the artifacts or the combination of the artifacts and the cardiac beat-induced pressure waves during said time sequence windows with at least one of delta single pressure wave (Δ

SW.x)-related parameters and single pressure wave (SW.x)-related parameters outside selected criteria for thresholds and ranges of the at least one of the delta single pressure wave (Δ

SW.x)-related parameters and the single pressure wave (SW.x)-related parameters.

2. The 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, said selected time frame lying in the range 5-15 seconds.

3. The method according to claim 1, wherein said identifying steps a) and b) prevent further analysis of the pressure waves related to the artifacts or the combination of the artifacts and the cardiac beat-induced pressure waves during said time sequence windows with the single pressure wave (SW.x)-related parameters outside the selected criteria for thresholds and ranges of said single pressure wave (SW.x)-related parameters, at least one of said single pressure wave (SW.x)-related 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).

4. The method according to claim 1, wherein said identifying steps a) and b) allow further analysis of 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.

5. The method according to claim 1, wherein said identifying steps a) and b) prevent further analysis of the pressure waves related to the artifacts or the combination of the artifacts and the cardiac beat-induced pressure waves during said time sequence windows with the delta single pressure wave (Δ

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

SW.x)-related parameters, at least one of said delta single pressure wave (Δ

SW.x)-related 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).

6. The method according to claim 1, wherein said identifying steps a) and b) prevent further analysis of time sequence windows with time sequence (TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, at least one of 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).

7. The method according to claim 1, wherein said identifying steps a) and b) allow further analysis of 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.

8. The method according to claim 1, wherein said identifying steps a) and b) prevent further analysis of time sequence windows with delta time sequence (Δ

TS.x)-related parameters outside selected criteria for thresholds and ranges of said parameters, at least one of 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).

9. The method according to claim 1, wherein said identifying steps a) and b) allow further analysis of 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.

10. The method according to claim 1, wherein said computing step c1) for individual time sequence windows that are included further includes determining said time sequence (TS.x)-related parameters, said parameters selected from the group of:

c1.1) mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1),

c1.2) standard deviation of mean value of starting diastolic minimum pressures of a time sequence window (TS.MeanP_min1—

STD),

c1.3) mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max),

c1.4) standard deviation of mean value of systolic maximum pressures of a time sequence window (TS.MeanP_max—

STD),

c1.5) mean amplitude of a time sequence window (TS.MeandP),

c1.6) standard deviation of mean amplitude of a time sequence window (TS.MeandP_STD),

c1.7) mean latency of a time sequence window (TS.MeandT),

c1.8) standard deviation of mean latency of a time sequence window (TS.MeandT_STD),

c1.9) mean rise time coefficient of a time sequence window (TS.MeanRT),

c1.10) standard deviation of mean rise time coefficient of a time sequence window (TS.MeanRT_STD),

c1.11) mean wave duration of a time sequence window (TS.MeanWD),

c1.12) standard deviation of mean wave duration of a time sequence window (TS.MeanWD_STD),

c1.13) mean single wave pressure of a time sequence window (TS.Mean_SWP),

c1.14) standard deviation of mean single wave pressure of a time sequence window (TS.Mean_SWP_STD),

c1.15) mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min),

c1.16) standard deviation of mean of diastolic minimum pressure differences of a time sequence window (TS.MeanDiff_P_min—

STD),

c1.17) mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max),

c1.18) standard deviation of mean of systolic maximum pressure differences of a time sequence window (TS.MeanDiff_P_max—

STD),

c1.19) mean amplitude difference of a time sequence window (TS.MeanDiff_dP),

c1.20) standard deviation of mean amplitude difference of a time sequence (TS.MeanDiff_dP_STD),

c1.21) mean latency difference of a time sequence window (TS.MeanDiff_dT),

c1.22) standard deviation of mean latency difference of a time sequence window (TS.MeanDiff_dT_STD),

c1.23) mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT),

c1.24) standard deviation of mean rise time coefficient difference of a time sequence window (TS.MeanDiff_RT_STD),

c1.25) mean wave duration difference of a time sequence window (TS.MeanDiff_WD),

c1.26) standard deviation of mean wave duration difference of a time sequence window (TS.MeanDiff_WD_STD),

c1.27) mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP),

c1.28) standard deviation of mean single wave pressure difference of a time sequence window (TS.MeanDiff_Mean_SWP_STD),

c1.29) number of accepted single pressure waves of a time sequence window (TS.SWCount),

c1.30) mean wave amplitude of a time sequence computed according to a first matrix (TS.MeanWavedP),

c1.31) mean wave latency of a time sequence computed according to a first matrix (TS.MeanWavedT),

c1.32) mean wave rise time coefficient of a time sequence computed according to a second matrix (TS.MeanWaveRT).

11. The method according to claim 1, wherein said computing step c1) 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.

12. The method according to claim 11, 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.

13. The method according to claim 11, 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, said balanced position of said first matrix of numbers of amplitude (SW.dP) and latency (SW.dT) combinations corresponding to mean wave amplitude (TS.MeanWavedP) and mean wave latency (TS.MeanWavedT), respectively during said individual time sequence windows.

14. The method according to claim 1, wherein said computing step c 1) 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.

15. The method according to claim 1, wherein said computing step c1) 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 number of said individual single pressure waves during said individual time sequence window.

16. The method according to claim 1, wherein said computing step c1) 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.

17. The method according to claim 1, wherein said computing step c1) 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.

18. The method according to claim 17, 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 number of samples.

19. The method according to claim 1, wherein said computing step c2) includes determining at least one of the delta time sequence (Δ

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

c2.1) difference of mean values of starting diastolic minimum pressures between two subsequent time sequence windows (Δ

TS.MeanP_min1),

c2.2) standard deviation of difference of mean values of starting diastolic minimum pressures of two subsequent time sequence windows (Δ

TS.MeanP_mim1—

STD),

c2.3) difference of mean values of systolic maximum pressure between two time sequence windows (Δ

TS.MeanP_max),

c2.4) standard deviation of difference of mean values of systolic maximum pressure between two subsequent time sequence windows (Δ

TS.MeanP_max—

STD),

c2.5) difference of mean amplitude values between two subsequent time sequence windows (Δ

TS.MeandP),

c2.6) standard deviation of difference of mean amplitudes between two subsequent time sequence windows (Δ

TS.MeandP_STD),

c2.7) difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT),

c2.8) standard deviation of difference of mean latency between two subsequent time sequence windows (Δ

TS.MeandT_STD),

c2.9) difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT),

c2.10) standard deviation of difference of mean rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanRT_STD),

c2.11) difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD),

c2.12) standard deviation of difference of mean wave duration between two subsequent time sequence windows (Δ

TS.MeanWD_STD),

c2.13) difference of mean single wave pressure between two subsequent time sequence windows (Δ

TS.Mean_SWP),

c2.14) standard deviation of difference of mean single wave pressure of two subsequent time sequence windows (Δ

TS.Mean_SWP_STD),

c2.15) difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min),

c2.16) standard deviation of difference of mean diastolic minimum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_min—

STD),

c2.17) difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max),

c2.18) standard deviation of difference of mean systolic maximum pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_P_max—

STD),

c2.19) difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP),

c2.20) standard deviation of difference of mean amplitude difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dP_STD),

c2.21) difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT),

c2.22) standard deviation of difference of mean latency difference between two subsequent time sequence windows (Δ

TS.MeanDiff_dT_STD),

c2.23) difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT),

c2.24) standard deviation of difference of mean rise time coefficient difference between two subsequent time sequence windows (Δ

TS.MeanDiff_RT_STD),

c2.25) difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD),

c2.26) standard deviation of difference of mean wave duration difference between two subsequent time sequence windows (Δ

TS.MeanDiff_WD_STD),

c2.28) difference of mean single wave pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP),

c2.29) standard deviation of difference of mean SW pressure difference between two subsequent time sequence windows (Δ

TS.MeanDiff_Mean_SWP_STD),

c2.30) difference of single wave count between two subsequent time sequence windows (Δ

TS SWCount),

c2.31) difference of mean wave amplitude between two subsequent time sequence windows (Δ

TS.MeanWavedP),

c2.32) difference of mean wave latency between two subsequent time sequence windows (Δ

TS.MeanWavedT), and

c2.33) difference of mean wave rise time coefficient between two subsequent time sequence windows (Δ

TS.MeanWaveRT).

20. The method according to claim 1, 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.

21. The method according to claim 1, 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.

22. 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 by a processing unit 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.McandP),

d5) mean latency (TS.MeandT),

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

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

e) presenting on a display device the analysis output of said one or more of parameters d1)-d7) as a quantitative matrix for a selectable number of time sequence windows of said pressure-related signal,

wherein said identifying steps a) and b) prevent further analysis of the pressure waves related to the artifacts or the combination of the artifacts and the cardiac beat-induced pressure waves during said time sequence windows with at least one of delta single pressure wave (Δ

SW.x)-related parameters and single pressure wave (SW.x)-related parameters outside selected criteria for thresholds and ranges of the at least one of the delta single pressure wave (Δ

SW.x)-related parameters and the single pressure wave (SW.x)-related parameters.

23. The method according to claim 22, 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.

24. The method according to claim 23, wherein said parameter values are categorized into groups, said groups reflecting ranges of said parameter values.

25. The method according to claim 23, 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.