Oximetry system for detecting ventilation instability

• US 6,760,608 B2
• Filed: 02/06/2001
• Issued: 07/06/2004
• Est. Priority Date: 08/19/1992
• Status: Expired due to Term

• Current Assignee: Lawrence A. Lynn
• Original Assignee: Lawrence A. Lynn
• Inventors: Lynn, Lawrence A.
• Primary Examiner(s): Winakur, Eric F.
• Assistant Examiner(s): KREMER, MATTHEW J
• Application Number:
  US09/776,771
• Publication Number:
  US 20010018557A1
• Time in Patent Office: 1,246 Days
• Field of Search: 600/332-326, 600/333, 600/483-484, 600/529, 600/534, 600/537, 600/538, 600/595, 600/485
• US Class Current: 600/324
• CPC Class Codes: A61B 17/155 Cutting femur
• CPC Class Codes: A61B 5/14551 for measuring blood gases
• CPC Class Codes: A61B 5/4818 Sleep apnoea
• CPC Class Codes: A61B 5/7257 using Fourier transforms
• CPC Class Codes: A61B 7/003 Detecting lung or respiration noise

Abstract

A system for detecting ventilation instability includes a pulse oximeter for generating a time series of oxygen saturation values and a processor programmed to detect the occurrence of patterns along the time series of clustered variations indicative of ventilation instability. An output is provided in response to the detection of the occurrence.

Claims

1. A patient monitoring system for detecting ventilation instability comprising:

a pulse oximeter for repeatedly determining an arterial oxygen saturation value to generate a time series output of said arterial oxygen saturation values; and

a processor programmed to detect the occurrence of a cluster of declines in said values and to provide an output in response to the detection of said occurrence.

2. The system of claim 1 wherein said occurrence comprises a grouping of closely spaced desaturations.

3. The system of claim 1 wherein said output is at least a visual output.

4. The system of claim 3 wherein said output is at least a textual output.

5. The system of claim 4 wherein said textual output indicates at least one of ventilation instability and airway instability.

6. The system of claim 1 wherein said occurrence comprises a grouping of closely spaced desaturations coupled with intervening resaturations.

7. A patient monitoring system for detecting ventilation instability comprising:

a pulse oximeter for repeatedly determining an arterial oxygen saturation value to generate a time series output of said arterial oxygen saturation values; and

a processor programmed to detect at least one occurrence of at least one pattern of said values along said time series, said pattern being indicative of ventilation instability, said pattern including at least a plurality of declines in said values along said time series during a time period less than said time series, said processor being further programmed to provide an output in response to said detection of said occurrence.

8. The system of claim 7 wherein said pattern comprises at least one grouping of closely spaced declines in said values.

9. The system of claim 7 wherein said output is comprised of at least a visual output.

10. The system of claim 7 wherein said output is comprised of at least a textual output.

11. The system of claim 10 wherein said textual output indicates at least one of ventilation instability and airway instability.

12. The system of claim 7 wherein said processor is further programmed to identify an occurrence of at least one pattern of a plurality of rises in saturation.

13. A processing method for providing an automatic indication of ventilation instability of a patient using a pulse oximeter, said pulse oximeter connected with said patient and a processor programmed to detect declines in oxygen saturation values, the method including:

(a) repeatedly determining an arterial oxygen saturation value of said patient to generate a time series output of said arterial oxygen saturation values;

(b) detecting an occurrence of at least a plurality of closely spaced declines in said values; and

(c) providing an output in response to said detecting.

14. The method of claim 13 wherein said output is at least a visual output.

15. The method of claim 13 wherein said output is at least a textual output.

16. The method of claim 13 wherein said occurrence comprises a grouping of closely spaced desaturations coupled with intervening resaturations.

17. The method of claim 13 wherein said plurality of declines define at least one interval between said declines, the method including determining at least one interval between said declines.

18. A method for providing an indication of ventilation instability of a patient using a processor and a pulse oximeter, said pulse oximeter connected with said patient, the method including:

(a) repeatedly determining the arterial oxygen saturation value of said patient to generate a time series output of said oxygen saturation values; and

(b) using said processor, detecting an occurrence of at least a plurality declines in said values wherein at least two of said declines occur within a pre-selected interval; and

(c) providing an output in response to said detecting.

19. The method of claim 18 wherein said output is at least a visual output.

20. The method of claim 18 wherein said output is at least a textual output.

21. The method of claim 20 wherein said textual output indicates at least one of ventilation instability and airway instability.

22. The method of claim 18 wherein said plurality of declines define at least one interval between said declines, the method including determining at least one interval between said declines.

23. The method of claim 18 wherein said occurrence comprises a grouping of closely spaced desaturations coupled with intervening resaturations.

24. The method of claim 18 wherein said occurrence defines a pattern of said plurality of declines along said time series, and wherein, said detecting comprises, at least, detecting said pattern.

25. A patient monitoring system for detecting ventilation instability comprising:

a monitor for generating a time series of a oxygen saturation values and for determining a variation along said time series indicative of an occurrence of at least one of an apnea and a hypopnea, and,

a processor programmed to detect an occurrence of a cluster of said variations and to provide an output in response to detection of said occurrence.

26. The system of claim 25 wherein said monitoring system comprises at least a pulse oximeter and wherein said variation comprises at least a fall in oxygen saturation.

27. The system of claim 25 wherein said monitoring system comprises at least a pulse oximeter and wherein said variation comprises at least a rise in oxygen saturation.

28. The system of claim 25 wherein said occurrence of a cluster of said variations comprises a grouping of closely spaced variations.

29. The system of claim 25 wherein said output is at least a visual output.

30. The system of claim 25 wherein said variation comprises at least a rise in oxygen saturation coupled to a fall in saturation.

31. A microprocessor system for the evaluation of a patient, the system programmed to:

(a) produce at least one time series of oxygen saturation values,

(b) identify along said time series, a pattern indicative of the occurrence of at least one of a plurality of closely spaced apneas and a plurality of closely spaced hypopneas, and

(c) output an indication based on said occurrence.

32. A microprocessor system for the evaluation of a patient, the system programmed to:

(a) produce at least one time series of at least arterial oxygen saturation,

(b) identify along said time series, a pattern indicative of the occurrence of a plurality of closely spaced falls in oxygen saturation, and

(c) output an indication based on said occurrence.

33. The system of claim 32 wherein said output is at least a textual output.

34. The system of claim 33 wherein said textual output indicates at least one of ventilation instability and airway instability.

35. The system of claim 32 wherein said pattern comprises a grouping of closely spaced falls in oxygen saturation, said falls, within said grouping being separated by rises in oxygen saturation.

36. A patient monitoring system for detecting ventilation instability comprising:

a pulse oximeter for repeatedly determining an arterial oxygen saturation value to generate a time series output of said arterial oxygen saturation values; and

a processor programmed to recognize the occurrence of a cluster of declines in said values and to provide an output in response to the recognition of said occurrence.

37. The system of claim 36, wherein said processor is further programmed to recognize a cluster pattern defined by a closely spaced grouping of declines separated by rises in said values and wherein said pattern is indicative of an airway instability.

38. The system of claim 36, wherein said processor is further programmed to recognize a plurality of clusters of declines.

39. A patient monitoring system for detecting ventilation instability comprising:

a pulse oximeter for repeatedly determining an arterial oxygen saturation value to generate a time series output of said arterial oxygen saturation values; and

a processor programmed to recognize at least one occurrence of at least one pattern of said values along said time series, said pattern being indicative of ventilation instability, said pattern comprising at least a plurality of declines in said values occurring over a short time interval along said time series, said processor being further programmed to provide an output in response to said recognition of said occurrence.

40. The system of claim 39, wherein said short time interval is less than or equal to about 15 minutes.

41. The system of claim 39, wherein said short time interval is less than 10 minutes.

42. The system of claim 39, wherein said pattern is comprised of a cluster of declines separated by rises in saturation values both said declines and said rises occurring within said short time interval.

43. The system of claim 39, wherein said pattern is comprised of three or more separate declines occurring within said short time interval.

44. The system of claim 39, wherein said pattern is comprised of three or more declines each separated by rises in saturation values, both said declines and said rises occurring within said short time interval.

45. The system of claim 39, wherein said processor is further programmed to recognize a pattern of closely-spaced declines separated by rises, and wherein said pattern is indicative of airway instability.

46. The system of claim 39, wherein processor is further programmed to recognize a pattern of closely spaced declines separated by rises, and wherein said pattern is indicative of obstructive sleep apnea.

47. A method for providing automatic indication of ventilation instability of a patient promptly upon an occurrence of said ventilation instability using a processor and a pulse oximeter without the need for attendance by a person, said pulse oximeter connected with said patient, the method including:

(a) repeatedly determining an arterial oxygen saturation value of said patient to generate a time series output of said arterial oxygen saturation values; and

(b) using said processor, recognizing an occurrence of at least a plurality of declines in said values, wherein at least two of said declines occur within a preselected interval; and

(c) providing an automatic output in response to said recognizing.

48. The method of claim 47, wherein said recognition comprises recognition of an occurrence of a pattern of closely spaced declines and wherein said pattern is indicative of an airway instability.

49. The method of claim 47, wherein recognition comprises recognition of an occurrence of a pattern of closely spaced declines and wherein said pattern is indicative of a sleep apnea.

50. The method of claim 47, wherein said recognition further comprises recognition of an occurrence of a pattern of declines and rises in saturation values and wherein at least two of both said declines and said rises occur within a short time interval and wherein said pattern is indicative of airway instability.

51. The method of claim 47, wherein said time interval is less than 10 minutes.

52. The method of claim 47, wherein said recognition further comprises recognition of an occurrence of a pattern closely spaced falls occurring within a time interval of less than 10 minutes.

53. The method of claim 47, wherein said recognition further comprises recognition of an occurrence of a pattern indicative of obstructive sleep apnea.

54. A patient monitoring system for automatically detecting ventilation instability without need for attendance by a person comprising:

a pulse oximeter for repeatedly determining an arterial oxygen saturation value to generate a time series output of said arterial oxygen saturation values; and

a processor programmed to automatically identify as abnormal an occurrence of at least one of a plurality of closely-spaced declines and a plurality of closely-spaced rises in said values, wherein said occurrence occurs over a short time interval, and to provide an automatic output in response to said identification, said output including a rapid response to said identification so that patient treatment can be quickly adjusted in response to said occurrence.

55. The system of claim 54, wherein said processor is further programmed to automatically adjust patient treatment in response to said occurrence.

56. The system of claim 54, wherein said short time interval is less than or equal to about 15 minutes.

57. The system of claim 54, wherein said short time interval is less than 10 minutes.

58. The system of claim 54, wherein said processor is further programmed to automatically identify as abnormal an occurrence of a plurality of closely-spaced declines separated by rises, wherein a mean absolute value of a slope of the rises is about equal to or greater than a mean absolute slope of the declines.

59. The system of claim 54, wherein said processor is further programmed to automatically identify as abnormal an occurrence of a plurality of closely-spaced declines separated by rises, wherein an absolute magnitude of the rises is about equal to or greater in than a magnitude of the declines.