System and method for detection of incomplete reciprocation

• US 20060155207A1
• Filed: 11/16/2005
• Published: 07/13/2006
• Est. Priority Date: 01/27/1997
• Status: Abandoned Application

• Current Assignee: Lawrence A. Lynn
• Original Assignee: Lawrence A. Lynn
• Inventors: Lynn, Eric N., Lynn, Lawrence A.
• Application Number:
  US11/274,960
• Publication Number:
  US 20060155207A1
• Time in Patent Office: Days
• US Class Current: 600/538
• CPC Class Codes: A61B 5/00 Measuring for diagnostic purposes radiation diagnosis A61B6/00; diagnosis by ultrasonic, sonic or infrasonic waves A61B8/00; Identification of persons
• CPC Class Codes: A61B 5/0205 Simultaneously evaluating both cardiovascular conditions and different types of body conditions, e.g. heart and respiratory condition
• CPC Class Codes: A61B 5/145 Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissuemeasuring of blood pressure or blood flow A61B5/02; non-radiation detecting or locating of foreign bodies in blood A61B5/06
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/412 Detecting or monitoring sepsis
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/726 using Wavelet transforms
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence

Abstract

A system and method for data processing is disclosed. One example comprises accessing data representative of a time series of at least one component of a parameter, detecting a first variation in the data, the first variation having a first beginning value, a first end value and a first amplitude along the time series, detecting a second variation in the data, the second variation having a second beginning value, a second end value and a second amplitude along the time series, comparing at least one of the first beginning value, the first end value and the first amplitude to at least one of the second beginning value, the second end value and the second amplitude, and detecting an incomplete reciprocation responsive to the comparing of the at least one of the first beginning value, the first end value and the first amplitude to the at least one of the second beginning value, the second end value and the second amplitude.

Claims

1. A method for processing data, comprising:

accessing data representative of a time series of at least one component of a parameter;

detecting a first variation in the data, the first variation having a first beginning value, a first end value and a first amplitude along the time series;

detecting a second variation in the data, the second variation having a second beginning value, a second end value and a second amplitude along the time series;

comparing at least one of the first beginning value, the first end value and the first amplitude to at least one of the second beginning value, the second end value and the second amplitude; and

detecting an incomplete reciprocation responsive to the comparing of the at least one of the first beginning value, the first end value and the first amplitude to the at least one of the second beginning value, the second end value and the second amplitude.

2. The method recited in claim 1, comprising identifying a predetermined condition based on a result of the act of comparing.

3. The method recited in claim 1, wherein at least the first variation comprises a defection event.

4. The method recited in claim 1, wherein at least the first variation comprises a trend event.

5. The method recited in claim 1, wherein at least the first variation is substantially unipolar.

6. The method recited in claim 1, wherein at least the first variation comprises a rise.

7. The method recited in claim 1, wherein at least the first variation comprises a fall.

8. The method recited in claim 1, wherein the first variation comprises a rise and the second variation comprises a fall.

9. The method recited in claim 8, comprising determining whether the first amplitude is less than the second amplitude.

10. The method recited in claim 8, comprising determining whether a peak value of the first variation is less than the second beginning value.

11. The method recited in claim 1, wherein the parameter comprises arterial oxygen saturation.

12. The method recited in claim 11, comprising deriving the arterial oxygen saturation data from a pulse oximeter.

13. The method recited in claim 1, wherein the parameter comprises carbon dioxide.

14. The method recited in claim 1, wherein the parameter comprises minute ventilation.

15. A method for processing data, comprising:

accessing data representative of a plurality of time series, each of the plurality of time series corresponding to at least one component of a parameter;

detecting a first variation in a subset of the data that corresponds to a first one of the plurality of time series, the first variation having a first beginning value, a first end value and a first amplitude along the first one of the plurality of time series;

detecting a second variation in a subset of the data that corresponds to a second one of the plurality of time series, the second variation having a second beginning value, a second end value and a second amplitude along the second one of the plurality of time series;

comparing at least one of the first beginning value, the first end value and the first amplitude to at least one of the second beginning value, the second end value and the second amplitude; and

detecting an incomplete reciprocation responsive to the comparing of the at least one of the first beginning value, the first end value and the first amplitude to the at least one of the second beginning value, the second end value and the second amplitude.

16. The method recited in claim 15, comprising identifying a predetermined condition based on a result of the act of comparing.

17. The method recited in claim 15, wherein at least the first variation comprises a defection event.

18. The method recited in claim 15, wherein at least the first variation comprises a trend event.

19. The method recited in claim 15, wherein at least the first variation is substantially unipolar.

20. The method recited in claim 15, wherein at least the first variation comprises a rise.

21. The method recited in claim 15, wherein at least the first variation comprises a fall.

22. The method recited in claim 15, wherein the first variation comprises a rise and the second variation comprises a fall.

23. The method recited in claim 22, comprising determining whether the first amplitude is less than the second amplitude.

24. The method recited in claim 22, comprising determining whether a peak value of the first variation is less than the second beginning value.

25. The method recited in claim 15, wherein the parameter represented by the first time series comprises arterial oxygen saturation.

26. The method recited in claim 25, comprising deriving the arterial oxygen saturation data from a pulse oximeter.

27. The method recited in claim 25, wherein the parameter represented by the second time series comprises minute ventilation.

28. The method recited in claim 15, wherein the parameter represented by the first time series comprises carbon dioxide.

29. A data processing system, comprising:

a memory that is adapted to store data representative of a time series of at least one component of a parameter; and

a processor that is adapted to;

detect a first variation in the data, the first variation having a first beginning value, a first end value and a first amplitude along the time series;

detect a second variation in the data, the second variation having a second beginning value, a second end value and a second amplitude along the time series;

compare at least one of the first beginning value, the first end value and the first amplitude to at least one of the second beginning value, the second end value and the second amplitude; and

detect an incomplete reciprocation responsive to the comparing of the at least one of the first beginning value, the first end value and the first amplitude to the at least one of the second beginning value, the second end value and the second amplitude.

30. The data processing system recited in claim 29, wherein the processor is adapted to identify a predetermined condition based on a result of comparing the at least one of the first beginning value, the first end value and the first amplitude to at least one of the second beginning value, the second end value and the second amplitude.

31. The data processing system recited in claim 29, wherein the parameter comprises arterial oxygen saturation.

32. The data processing system recited in claim 31, wherein the arterial oxygen saturation is derived from a pulse oximeter.

33. The data processing system recited in claim 29, wherein the parameter comprises carbon dioxide.

34. The data processing system recited in claim 29, wherein the parameter comprises minute ventilation.

35. A data processing system, comprising:

means for storing data representative of a time series of at least one component of a parameter; and

means for detecting a first variation in the data, the first variation having a first beginning value, a first end value and a first amplitude along the time series, detecting a second variation in the data, the second variation having a second beginning value, a second end value and a second amplitude along the time series, comparing at least one of the first beginning value, the first end value and the first amplitude to at least one of the second beginning value, the second end value and the second amplitude, and detecting an incomplete reciprocation responsive to the comparing of the at least one of the first beginning value, the first end value and the first amplitude to the at least one of the second beginning value, the second end value and the second amplitude.

36. The data processing system recited in claim 35, wherein the parameter comprises arterial oxygen saturation.

37. The data processing system recited in claim 36, wherein the arterial oxygen saturation is derived from a pulse oximeter.

38. The data processing system recited in claim 35, wherein the parameter comprises carbon dioxide.

39. A tangible machine-readable medium comprising:

code adapted to access data representative of a time series of at least one component of a parameter;

code adapted to detect a first variation in the data, the first variation having a first beginning value, a first end value and a first amplitude along the time series;

code adapted to detect a second variation in the data, the second variation having a second beginning value, a second end value and a second amplitude along the time series;

code adapted to compare at least one of the first beginning value, the first end value and the first amplitude to at least one of the second beginning value, the second end value and the second amplitude; and

code adapted to detect an incomplete reciprocation responsive to the comparing of the at least one of the first beginning value, the first end value and the first amplitude to the at least one of the second beginning value, the second end value and the second amplitude.

40. A method for processing data, comprising:

accessing data representative of a time series of at least one component of a parameter; and

searching for a subset of the data that is representative of an incomplete reciprocation.

41. The method recited in claim 40, wherein the parameter comprises arterial oxygen saturation.

42. The method recited in claim 41, comprising deriving the arterial oxygen saturation data from a pulse oximeter.

43. The method recited in claim 40, wherein the parameter comprises carbon dioxide.

44. The method recited in claim 41, comprising detecting a magnitude ratio associated with the incomplete reciprocation.

45. The method recited in claim 44, comprising detecting a morphology associated with the incomplete reciprocation.

46. The method recited in claim 42, comprising analyzing the incomplete reciprocation to determine a severity of the incomplete reciprocation

47. The method recited in claim 42, comprising adjusting a narcotic dose based on the act of detecting.

48. The method recited in claim 42, comprising adjusting a narcotic dose based on the act of detecting.

49. The method recited in claim 48, comprising adjusting a narcotic infusion pump.

50. The method recited in claim 42, comprising adjusting a positive airway pressure device based on the act of detecting.

51. The method recited in claim 42, comprising adjusting a drug infusion pump based on the act of detecting.

52. The method recited in claim 42, comprising providing an alarm responsive to the act of detecting.

53. The method recited in claim 41, wherein the parameter comprises minute ventilation.

54. A method for processing data, comprising:

accessing data representative of a time series of at least one component of a parameter; and

defining a plurality of programmatic objects that each represent a segment of the time series, the time series comprising a plurality of reciprocations,

detecting an object comprising a first component of a reciprocation,

detecting an object comprising a second component of a reciprocation,

comparing the first object to the second object to detect an incomplete reciprocation.