Diagnosis and Monitoring of Dyspnea

• US 20120130201A1
• Filed: 11/24/2010
• Published: 05/24/2012
• Est. Priority Date: 11/24/2010
• Status: Abandoned Application

• Current Assignee: Fujitsu Limited
• Original Assignee: Fujitsu Limited
• Inventors: JAIN, Jawahar
• Application Number:
  US12/954,251
• Publication Number:
  US 20120130201A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 5/08 Detecting, measuring or recording devices for evaluating the respiratory organs A61B5/0205 takes precedence
• CPC Class Codes: A61B 5/1118 Determining activity level
• CPC Class Codes: A61B 5/14542 for measuring blood gases A61B5/14551 takes precedence

Abstract

In particular embodiments, a method includes accessing data streams from respiration sensors, accelerometers, or pulse oximeters monitoring a person'"'"'s body, analyzing data sets collected from the person when the person is engaged in various activities, and determining the current dyspnea grade of the person.

Claims

1. A method comprising, by one or more computing devices:

accessing one or more data streams from one or more sensors affixed to a person'"'"'s body, the sensors comprising;

one or more respiration sensors; and

one or more accelerometers or one or more pulse oximeters;

wherein;

the data streams comprise respiration data of the person from one or more of the respiration sensors, accelerometer data of the person from one or more of the accelerometers, and pulse oximetry data of the person from one or more of the pulse oximeters;

a first data set from the data streams is collected from the person at a first time; and

a second data set from the data streams is collected from the person at a second time;

analyzing the first data set and second data set with respect to each other; and

determining a current dyspnea grade of the person based on the analysis of the first data set and second data set with respect to each other.

2. The method of claim 1, wherein:

at the first time the person is engaged in a first activity; and

at the second time the person is engaged in a second activity.

3. The method of claim 2, wherein:

a third data set from the data streams is collected from the person at a third time; and

the third data set is also analyzed with respect to the first data set and second data set.

4. The method of claim 3, wherein:

at the third time the person is engaged in a third activity; and

the first activity is resting, the second activity is a moderately strenuous activity, and the third activity is a more strenuous activity.

5. The method of claim 2, wherein the first activity is substantially resting.

6. The method of claim 5, wherein the second activity is a six minute flat-surface walk.

7. The method of claim 5, wherein the second activity is a strenuous activity.

8. The method of claim 5, wherein the second activity is more than a minimal activity but less than a strenuous activity.

9. The method of claim 1, further comprising:

accessing a prior dyspnea grade of the person that precedes the current dyspnea grade of the person;

analyzing the prior dyspnea grade and the current dyspnea grade of the person with respect to each other; and

determining whether there is a change in dyspnea in the person based on the analysis of the prior dyspnea grade and current dyspnea grade with respect to each other.

10. The method of claim 1, wherein the dyspnea grade is assessed on an MRC Breathlessness Scale.

11. The method of claim 1, wherein:

the sensors further comprise one or more heart-rate sensors; and

the data streams further comprise heart-rate data of the person from one or more of the hear-rate sensors.

12. The method of claim 1, wherein:

the sensors further comprise one or more pain sensors; and

the data streams further comprise pain data of the person from one or more of the pain sensors.

13. The method of claim 1, wherein:

the sensors further comprise one or more kinesthetic sensors; and

the data streams further comprise kinesthetic data of the person from one or more of the kinesthetic sensors.

14. The method of claim 1, wherein:

the sensors further comprise one or more arterial blood gas sensors; and

the data streams further comprise arterial blood gas data of the person from one or more of the arterial blood gas sensors.

15. The method of claim 1, wherein:

the sensors further comprise one or more electromyographs; and

the data streams further comprise electromyograph data of the person from one or more of the electromyographs.

16. The method of claim 1, wherein:

the sensors further comprise one or more electrocardiographs; and

the data streams further comprise electrocardiograph data of the person from one or more of the electrocardiographs.

17. The method of claim 1, wherein one or more of the respiration sensors measure one or more of the person'"'"'s breathing rate, tidal volume, respiration minute volume, or breathing amplitude.

18. One or more computer-readable non-transitory storage media embodying instructions that are operable when executed to:

access one or more data streams from one or more sensors affixed to a person'"'"'s body, the sensors comprising;

one or more respiration sensors; and

one or more accelerometers or one or more pulse oximeters;

wherein;

the data streams comprise respiration data of the person from one or more of the respiration sensors, accelerometer data of the person from one or more of the accelerometers, and pulse oximetry data of the person from one or more of the pulse oximeters;

a first data set from the data streams is collected from the person at a first time; and

a second data set from the data streams is collected from the person at a second time;

analyze the first data set and second data set with respect to each other; and

determine a current dyspnea grade of the person based on the analysis of the first data set and second data set with respect to each other.

19. The media of claim 18, wherein:

at the first time the person is engaged in a first activity; and

at the second time the person is engaged in a second activity.

20. The media of claim 19, wherein:

a third data set from the data streams is collected from the person at a third time; and

the third data set is also analyzed with respect to the first data set and second data set.

21. The media of claim 20, wherein:

at the third time the person is engaged in a third activity; and

the first activity is resting, the second activity is a moderately strenuous activity, and the third activity is a more strenuous activity.

22. The media of claim 19, wherein the first activity is substantially resting.

23. The media of claim 22, wherein the second activity is a six minute flat-surface walk.

24. The media of claim 22, wherein the second activity is a strenuous activity.

25. The media of claim 22, wherein the second activity is more than a minimal activity but less than a strenuous activity.

26. The media of claim 18, the media embodying instructions that are further operable when executed to:

access a prior dyspnea grade of the person that precedes the current dyspnea grade of the person;

analyze the prior dyspnea grade and the current dyspnea grade of the person with respect to each other; and

determine whether there is a change in dyspnea in the person based on the analysis of the prior dyspnea grade and current dyspnea grade with respect to each other.

27. The media of claim 18, wherein the dyspnea grade is assessed on an MRC Breathlessness Scale.

28. The media of claim 18, wherein:

the sensors further comprise one or more heart-rate sensors; and

the data streams further comprise heart-rate data of the person from one or more of the hear-rate sensors.

29. The media of claim 18, wherein:

the sensors further comprise one or more pain sensors; and

the data streams further comprise pain data of the person from one or more of the pain sensors.

30. The media of claim 18, wherein:

the sensors further comprise one or more kinesthetic sensors; and

the data streams further comprise kinesthetic data of the person from one or more of the kinesthetic sensors.

31. The media of claim 18, wherein:

the sensors further comprise one or more arterial blood gas sensors; and

the data streams further comprise arterial blood gas data of the person from one or more of the arterial blood gas sensors.

32. The media of claim 18, wherein:

the sensors further comprise one or more electromyographs; and

the data streams further comprise electromyograph data of the person from one or more of the electromyographs.

33. The media of claim 18, wherein:

the sensors further comprise one or more electrocardiographs; and

the data streams further comprise electrocardiograph data of the person from one or more of the electrocardiographs.

34. The media of claim 18, wherein one or more of the respiration sensors measure one or more of the person'"'"'s breathing rate, tidal volume, respiration minute volume, or breathing amplitude.

35. An apparatus comprising:

a memory comprising instructions executable by one or more processors; and

one or more processors coupled to the memory and operable to execute the instructions, the one or more processors being operable when executing the instructions to;

access one or more data streams from one or more sensors affixed to a person'"'"'s body, the sensors comprising;

one or more respiration sensors; and

one or more accelerometers or one or more pulse oximeters;

wherein;

the data streams comprise respiration data of the person from one or more of the respiration sensors, accelerometer data of the person from one or more of the accelerometers, and pulse oximetry data of the person from one or more of the pulse oximeters;

a first data set from the data streams is collected from the person at a first time; and

a second data set from the data streams is collected from the person at a second time;

analyze the first data set and second data set with respect to each other; and

determine a current dyspnea grade of the person based on the analysis of the first data set and second data set with respect to each other.

36. The apparatus of claim 35, wherein:

at the first time the person is engaged in a first activity; and

at the second time the person is engaged in a second activity.

37. The apparatus of claim 36, wherein:

a third data set from the data streams is collected from the person at a third time; and

the third data set is also analyzed with respect to the first data set and second data set.

38. The apparatus of claim 37, wherein:

at the third time the person is engaged in a third activity; and

the first activity is resting, the second activity is a moderately strenuous activity, and the third activity is a more strenuous activity.

39. The apparatus of claim 35, wherein the first activity is substantially resting.

40. The apparatus of claim 39, wherein the second activity is a six minute flat-surface walk.

41. The apparatus of claim 39, wherein the second activity is a strenuous activity.

42. The apparatus of claim 39, wherein the second activity is more than a minimal activity but less than a strenuous activity.

43. The apparatus of claim 35, the apparatus further operable when executing instruction to:

access a prior dyspnea grade of the person that precedes the current dyspnea grade of the person;

analyze the prior dyspnea grade and the current dyspnea grade of the person with respect to each other; and

determine whether there is a change in dyspnea in the person based on the analysis of the prior dyspnea grade and current dyspnea grade with respect to each other.

44. The apparatus of claim 35, wherein the dyspnea grade is assessed on an MRC Breathlessness Scale.

45. The apparatus of claim 35, wherein:

the sensors further comprise one or more heart-rate sensors; and

the data streams further comprise heart-rate data of the person from one or more of the hear-rate sensors.

46. The apparatus of claim 35, wherein:

the sensors further comprise one or more pain sensors; and

the data streams further comprise pain data of the person from one or more of the pain sensors.

47. The apparatus of claim 35, wherein:

the sensors further comprise one or more kinesthetic sensors; and

the data streams further comprise kinesthetic data of the person from one or more of the kinesthetic sensors.

48. The apparatus of claim 35, wherein:

the sensors further comprise one or more arterial blood gas sensors; and

the data streams further comprise arterial blood gas data of the person from one or more of the arterial blood gas sensors.

49. The apparatus of claim 35, wherein:

the sensors further comprise one or more electromyographs; and

the data streams further comprise electromyograph data of the person from one or more of the electromyographs.

50. The apparatus of claim 35, wherein:

the sensors further comprise one or more electrocardiographs; and

the data streams further comprise electrocardiograph data of the person from one or more of the electrocardiographs.

51. The apparatus of claim 35, wherein one or more of the respiration sensors measure one or more of the person'"'"'s breathing rate, tidal volume, respiration minute volume, or breathing amplitude.

52. A system comprising:

means for accessing one or more data streams from one or more sensors affixed to a person'"'"'s body, the sensors comprising;

one or more respiration sensors; and

one or more accelerometers or one or more pulse oximeters;

wherein;

the data streams comprise respiration data of the person from one or more of the respiration sensors, accelerometer data of the person from one or more of the accelerometers, and pulse oximetry data of the person from one or more of the pulse oximeters;

a first data set from the data streams is collected from the person at a first time; and

a second data set from the data streams is collected from the person at a second time;

means for analyzing the first data set and second data set with respect to each other; and

means for determining a current dyspnea grade of the person based on the analysis of the first data set and second data set with respect to each other.

53. The system of claim 52, wherein:

at the first time the person is engaged in a first activity; and

at the second time the person is engaged in a second activity.

54. The system of claim 53, wherein:

a third data set from the data streams is collected from the person at a third time; and

the third data set is also analyzed with respect to the first data set and second data set.

55. The system of claim 54, wherein:

at the third time the person is engaged in a third activity; and

the first activity is resting, the second activity is a moderately strenuous activity, and the third activity is a more strenuous activity.

56. The system of claim 53, wherein the first activity is substantially resting.

57. The system of claim 56, wherein the second activity is a six minute flat-surface walk.

58. The system of claim 56, wherein the second activity is a strenuous activity.

59. The system of claim 56, wherein the second activity is more than a minimal activity but less than a strenuous activity.

60. The system of claim 52, further comprising:

means for accessing a prior dyspnea grade of the person that precedes the current dyspnea grade of the person;

means for analyzing the prior dyspnea grade and the current dyspnea grade of the person with respect to each other; and

means for determining whether there is a change in dyspnea in the person based on the analysis of the prior dyspnea grade and current dyspnea grade with respect to each other.

61. The system of claim 52, wherein the dyspnea grade is assessed on an MRC Breathlessness Scale.

62. The system of claim 52, wherein:

the sensors further comprise one or more heart-rate sensors; and

the data streams further comprise heart-rate data of the person from one or more of the hear-rate sensors.

63. The system of claim 52, wherein:

the sensors further comprise one or more pain sensors; and

the data streams further comprise pain data of the person from one or more of the pain sensors.

64. The system of claim 52, wherein:

the sensors further comprise one or more kinesthetic sensors; and

the data streams further comprise kinesthetic data of the person from one or more of the kinesthetic sensors.

65. The system of claim 52, wherein:

the sensors further comprise one or more arterial blood gas sensors; and

the data streams further comprise arterial blood gas data of the person from one or more of the arterial blood gas sensors.

66. The system of claim 52, wherein:

the sensors further comprise one or more electromyographs; and

the data streams further comprise electromyograph data of the person from one or more of the electromyographs.

67. The system of claim 52, wherein:

the sensors further comprise one or more electrocardiographs; and

the data streams further comprise electrocardiograph data of the person from one or more of the electrocardiographs.

68. The system of claim 52, wherein one or more of the respiration sensors measure one or more of the person'"'"'s breathing rate, tidal volume, respiration minute volume, or breathing amplitude.