Microprocessor system for the analysis of physiologic and financial datasets

• US 20070093721A1
• Filed: 05/10/2006
• Published: 04/26/2007
• Est. Priority Date: 05/17/2001
• Status: Abandoned Application

• Current Assignee: Eric Lynn, Lawrence Lynn
• Original Assignee: Eric Lynn, Lawrence Lynn
• Inventors: Lynn, Eric, Lynn, Lawrence
• Application Number:
  US11/431,686
• Publication Number:
  US 20070093721A1
• Time in Patent Office: Days
• US Class Current: 600/532
• 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 5/021 Measuring pressure in heart or blood vessels A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/0809 by impedance pneumography
• 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: G06T 13/80 2D [Two Dimensional] animation, e.g. using sprites
• CPC Class Codes: G16B 45/00 ICT specially adapted for bioinformatics-related data visualisation, e.g. displaying of maps or networks
• CPC Class Codes: G16H 10/40 for data related to laboratory analysis, e.g. patient specimen analysis

Abstract

A system and method for organization and analysis of complex and dynamically interactive time series is disclosed. One example comprises a processor based system for relational analysis of physiologic signals for providing early recognition of catastrophic and pathologic events such as pathophysiologic divergence. The processor is programmed to identify pathophysiologic divergence of at least one of first and second physiologic parameters in relationship to the other and to output an indication of the divergence. An object-based method of iterative relational processing waveform fragments in the time domain is described wherein each more complex waveform object inherits the characteristics of the waveform objects from which it is derived. The first physiologic parameter can be the amplitude and frequency of the variation in chest wall impedance or nasal pressure and the second parameter can be a measure or indication of the arterial oxygen saturation.

Claims

1. A physiologic parameter system, comprising:

first parameter data that corresponds to a first physiologic parameter of a patient;

second parameter data that corresponds to a second physiologic parameter of the patent; and

a processor adapted to determine a relationship between the first physiologic parameter and the second physiologic parameter based on the first parameter data and the second parameter data, and to generate an alarm output if a value describing the relationship exceeds a threshold.

2. The physiologic system of claim 1, wherein the relationship is mathematical and the value is determined by evaluating a mathematical expression of the relationship.

3. The physiologic system of claim 1, wherein the relationship is graphical and the value is determined by evaluating a graphical representation of the relationship.

4. The physiologic system of claim 1, wherein the relationship is temporal and the value is determined by evaluating a temporal representation of the relationship.

5. The physiologic system of claim 1, wherein the relationship is spatial and the value is determined by evaluating a spatial representation of the relationship.

6. The physiologic system of claim 1, wherein the second parameter is a measure of timed ventilation.

7. The physiologic system of claim 1, wherein the second parameter is a respiratory rate.

8. The physiologic system of claim 1, wherein the second parameter is a respiratory amplitude.

9. The physiologic system of claim 1, wherein the second parameter is a derivative of both a respiratory rate and a respiratory amplitude.

10. The physiologic system of claim 1, wherein the second parameter is a parameter indicative of a magnitude of timed ventilation.

11. The physiologic system of claim 1, wherein the relationship comprises at least one pattern relationship.

12. The physiologic system of claim 11, wherein the pattern relationship is downward sloping oxygen saturation.

13. The physiologic system of claim 1, wherein the relationship comprises at least one trending relationship.

14. The physiologic system of claim 1, wherein the relationship comprises a fall in oxygen saturation coupled to a rise in respiration rate.

15. The physiologic system of claim 1, wherein the relationship is a derivative of both a parameter rate and a parameter amplitude.

16. The physiologic system of claim 1, wherein the relationship comprises an indication of ventilation by chest wall impedance.

17. A method of evaluating data, comprising:

accessing first parameter data that corresponds to a first physiological parameter of a patient;

accessing second parameter data that corresponds to a second physiological parameter of the patent;

determining a relationship between the first physiological parameter and the second physiological parameter based on the first parameter data and the second parameter data; and

generating an output if a value describing the relationship exceeds a threshold.

18. The method of claim 17, comprising determining the value by evaluating a mathematical expression of the relationship.

19. The method of claim 17, comprising determining the value by evaluating a graphical representation of the relationship.

20. The method of claim 17, comprising determining the value by evaluating a temporal representation of the relationship.

21. The method of claim 17, comprising determining the value by evaluating a spatial representation of the relationship.

22. The method of claim 17, wherein the second parameter is a measure of timed ventilation.

23. The method of claim 17, wherein the second parameter is a respiratory rate.

24. The method of claim 17, wherein the second parameter is a respiratory amplitude.

25. The method of claim 17, wherein the second parameter is a derivative of both a respiratory rate and a respiratory amplitude.

26. The method of claim 17, wherein the second parameter is a parameter indicative of a magnitude of timed ventilation.

27. The method of claim 17, wherein the relationship comprises at least one pattern relationship.

28. The method of claim 27, wherein the pattern relationship is downward sloping oxygen saturation.

29. The method of claim 17, wherein the relationship comprises at least one trending relationship.

30. The method of claim 17, wherein the relationship comprises a fall in oxygen saturation coupled to a rise in respiration rate.

31. The method of claim 17, wherein the relationship is a derivative of both a parameter rate and a parameter amplitude.

32. The method of claim 17, wherein the relationship comprises an indication of ventilation by chest wall impedance.

33. The method of claim 17, wherein the output comprises an alarm.

34. A method of evaluating data, comprising:

accessing first parameter data that corresponds to oxygen saturation of a patient;

accessing second parameter data that corresponds to a physiological parameter of the patient other than oxygen saturation;

determining a relationship between the oxygen saturation and the second physiological parameter based on the first parameter data and the second parameter data; and

generating an output if a value describing the relationship exceeds a threshold.

35. The method of claim 34, comprising determining the value by evaluating a mathematical expression of the relationship.

36. The method of claim 34, comprising determining the value by evaluating a graphical representation of the relationship.

37. The method of claim 34, comprising determining the value by evaluating a temporal representation of the relationship.

38. The method of claim 34, comprising determining the value by evaluating a spatial representation of the relationship.

39. The method of claim 34, wherein the second parameter is a measure of timed ventilation.

40. The method of claim 34, wherein the second parameter is a respiratory rate.

41. The method of claim 34, wherein the second parameter is a respiratory amplitude.

42. The method of claim 34, wherein the second parameter is a derivative of both a respiratory rate and a respiratory amplitude.

43. The method of claim 34, wherein the second parameter is a parameter indicative of a magnitude of timed ventilation.

44. The method of claim 34, wherein the relationship comprises at least one pattern relationship.

45. The method of claim 44, wherein the pattern relationship is downward sloping oxygen saturation.

46. The method of claim 34, wherein the relationship comprises at least one trending relationship.

47. The method of claim 34, wherein the relationship comprises a fall in oxygen saturation coupled to a rise in respiration rate.

48. The method of claim 34, wherein the relationship is a derivative of both a parameter rate and a parameter amplitude.

49. The method of claim 34, wherein the relationship comprises an indication of ventilation by chest wall impedance.

50. The method of claim 34, wherein the output comprises an alarm.

51. A method of controlling a medical device, comprising:

accessing first parameter data that corresponds to a first physiological parameter indicative of an oxygen saturation of a patient;

accessing quality data representative of a confidence level in accuracy of the first parameter data;

producing a control signal for the medical device based on the first parameter data taking into account the quality data.

52. A method of evaluating data, comprising:

accessing first parameter data that corresponds to oxygen saturation of a patient;

accessing second parameter data that corresponds to a timed ventilation of a patient; and

detecting a relationship between the first parameter data and the second parameter data, the relationship being indicative of a fall in oxygen saturation and a rise in at least one component of the timed ventilation of the patient; and

outputting an indication based on the detecting step.