METHOD AND DEVICE FOR IMPROVING PREDICTION AND DETECTION OF CHANGE IN A PHYSIOLOGICAL CONDITION

• US 20160213261A1
• Filed: 08/23/2013
• Published: 07/28/2016
• Est. Priority Date: 08/23/2013
• Status: Active Grant

• Current Assignee: Medicus Engineering Aps
• Original Assignee: Medicus Engineering Aps
• Inventors: Fleischer, Jesper, Cichosz, Simon Lebech
• Granted Patent: US 10,555,677 B2
• Time in Patent Office: Days
• US Class Current: 1/1
• 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 5/02405 Determining heart rate variability
• CPC Class Codes: A61B 5/14532 for measuring glucose, e.g. by tissue impedance measurement
• CPC Class Codes: A61B 5/7267 involving training the classification device
• CPC Class Codes: A61B 5/7275 Determining trends in physiological measurement data; Predicting development of a medical condition based on physiological measurements, e.g. determining a risk factor
• CPC Class Codes: A61B 5/7405 using sound
• CPC Class Codes: A61B 5/742 using visual displays A61B5/339 takes precedence
• CPC Class Codes: A61B 5/746 Alarms related to a physiological condition, e.g. details of setting alarm thresholds or avoiding false alarms alarms per se G08B
• CPC Class Codes: A61M 5/1723 using feedback of body parameters, e.g. blood-sugar, pressure measurement of body parameters A61B5/00
• CPC Class Codes: G16H 50/20 for computer-aided diagnosis, e.g. based on medical expert systems
• CPC Class Codes: G16Z 99/00 Subject matter not provided for in other main groups of this subclass

Abstract

Devices, methods and systems for predicting and detecting a change in a physiological condition of a subject are disclosed. A device for detecting and predicting a change in physiological condition of a subject may include one or more processors configured to: (i) analyze changes in a heart rhythm of a subject; (ii) analyze a signal from one or more biomarkers that are associated with a physiological condition of the subject; and (iii) determine, based on the changes in the heart rhythm and the signal from the one or more biomarkers, whether there is a change in the physiological condition of the subject during a time period.

Claims

1-27. -27. (canceled)

28. A device comprising one or more processors configured to:

obtain, via one or more sensors, a signal related to a heart rhythm of a subject and a signal related to one or more surrogate measurements for a physiological condition of the subject;

analyze changes in heart rate variability of the subject based on the heart rhythm signal;

analyze changes in the surrogate measurements for the physiological condition of the subject based on the surrogate measurement signal; and

predict, based on the changes in the heart rate variability and the changes in the surrogate measurements, whether there is a change in the physiological condition of the subject during a time period.

29. The device of claim 28, wherein the one or more processors are configured to process or correlate data related to the changes in the heart rate variability to predict whether the signal or a change in the signal is of a physiological significance.

30. The device of claim 28, further comprising at least one of the one or more sensors configured to obtain the heart rhythm signal or the surrogate measurement signal.

31. The device of claim 28, wherein the one or more processors are configured to predict whether there is a change in the physiological condition of the subject based on (i) the changes in the heart rate variability, (ii) the changes in the surrogate measurements, and (iii) a pattern recognition model trained using prior heart rhythm measurements and prior surrogate measurements related to the physiological condition.

32. The device of claim 28, wherein the one or more processors are further configured to predict whether the changes in the heart rate variability of the subject are to be treated as a non-healthy incidence.

33. The device of claim 28, wherein the surrogate measurement signal includes one or more of body temperature, a heart rate or sound, a breathing rate or sound, a partial oxygen pressure, a glucose level, a blood pressure, a bioimpedance, a galvanic skin response, a motion detection signal, an electrooculogram signal, an electrocardiogram signal, a pulse wave velocity signal, a pulse wave measurement signal, a nerve conduction velocity signal, an electroencephalogram signal, an electromyogram signal, a dolorimeter measurement signal, or concentration of one or more chemicals in blood.

34. The device of claim 28, wherein the surrogate measurement signal is periodically obtained via the one or more sensors.

35. The device of claim 28, wherein the one or more processors are further configured to analyze motion of the subject using audio or visual guidance, and wherein the one or more processors are configured to predict the physiological condition of the subject further based on the analysis of the motion of the subject.

36. The device of claim 28, further comprising a feedback mechanism for providing an audio, visual, or audio-visual feedback to the subject when a non-healthy physiological change is detected.

37. The device of claim 28, wherein the one or more processors are configured to analyze changes in the heart rate variability by detecting patterns or changes in patterns of the heart rhythm in the heart rhythm signal.

38. The device of claim 28, wherein the surrogate measurement signal relates to a blood glucose level.

39. A method comprising:

obtaining, via one or more sensors, a signal related to a heart rhythm of a subject and a signal related to one or more surrogate measurements for a physiological condition of the subject;

analyzing changes in heart rate variability of the subject based on the heart rhythm signal;

analyzing changes in the surrogate measurements for the physiological condition of the subject based on the surrogate measurement signal; and

predicting, based on the changes in the heart rate variability and the changes in the surrogate measurements, whether there is a change in the physiological condition of the subject during a time period.

40. The method of claim 39, further comprising determining whether the changes in the heart rate variability of the subject are to be treated as a non-healthy incidence.

41. The method of claim 39, wherein the surrogate measurement signal includes one or more of body temperature, a heart rate or sound, a breathing rate or sound, a partial oxygen pressure, a glucose level, a blood pressure, a bioimpedance, a galvanic skin response, a motion detection signal, an electrooculogram signal, an electrocardiogram signal, a pulse wave velocity signal, a pulse wave measurement signal, a nerve conduction velocity signal, an electroencephalogram signal, an electromyogram signal, a dolorimeter measurement signal, or concentration of one or more chemicals in blood.

42. The method of claim 39, wherein the surrogate measurement signal is periodically obtained via the one or more sensors.

43. The method of claim 39, wherein analyzing changes in the heart rate variability of the subject comprises detecting patterns or changes in patterns of the heart rhythm of the subject in the heart rhythm signal.

44. The method of claim 43, further comprising correlating patterns or changes in patterns of the heart rhythm of the subject with non-healthy instances of the physiological condition.

45. The method of claim 39, wherein the surrogate measurement signal comprises a blood glucose level.

53. A computer program comprising a computer-readable medium having computer program logic recorded thereon arranged to execute the method of claim 39.

54. A computer-readable medium comprising computer-readable code physically embodied thereon which, when executed by a processor, causes the processor to perform a method of claim 39.

46. A system comprising:

one or more sensors configured to obtain a signal related to a heart rhythm of a subject and to obtain a signal related to one or more surrogate measurements for a physiological condition of the subject; and

a device comprising one or more processors configured to;

obtain, via the one or more sensors, the heart rhythm signal and the surrogate measurement signal;

analyze changes in heart rate variability of the subject based on the heart rhythm signal;

analyze changes in the surrogate measurements for the physiological condition of the subject based on the surrogate measurement signal; and

predict, based on the changes in the heart rate variability and the changes in the surrogate measurements, whether there is a change in the physiological condition of the subject during a time period.

47. The system of claim 46, further comprising a feedback mechanism for providing an audio, visual, or audio-visual feedback to a subject when a non-healthy physiological change is detected.

48. The system of claim 46, wherein the one or more processors are further configured to predict whether the changes in the heart rate variability of the subject are to be treated as a non-healthy incidence.

49. The system of claim 46, wherein the surrogate measurement signal includes one or more of body temperature, a heart rate or sound, a breathing rate or sound, a partial oxygen pressure, a glucose level, a blood pressure, a bioimpedance, a galvanic skin response, a motion detection signal, an electrooculogram signal, an electrocardiogram signal, a pulse wave velocity signal, a pulse wave measurement signal, a nerve conduction velocity signal, an electroencephalogram signal, an electromyogram signal, a dolorimeter measurement signal, or concentration of one or more chemicals in blood.

50. The system of claim 49, wherein the surrogate measurement signal comprises a blood glucose level.

51. The system of claim 46, wherein the surrogate measurement signal is periodically obtained via the one or more sensors.

52. The system of claim 46, wherein the one or more processors are configured to analyze the changes in the heart rate variability by detecting patterns or changes in patterns of the heart rhythm in the heart rhythm signal.