Method and system for monitoring stress

Patent metadata

Field	Value
Publication number	US-10206590-B2
Application number	US-201514807067-A
Country	US
Kind code	B2
Filing date	Jul 23, 2015
Priority date	Jul 28, 2014
Publication date	Feb 19, 2019
Grant date	Feb 19, 2019

Abstract

Method and system for monitoring stress level of a subject. Beat-to-beat time variation and stroke volume variation of the heart a subject are obtained simultaneously, and a stress level indication is determined as a function of the beat-to-beat time variation and the relative stroke volume variation. More accurate and reliable estimates for stress level may be obtained.

First claim

The invention claimed is:

1. A method for monitoring stress level of a subject, said method comprising:
attaching a sensor device to a subject;
simultaneously measuring, with the sensor device, beat-to-beat time variation and a relative stroke volume variation of a heart of the subject;
outputting the beat-to-beat time variation and the stroke volume variation to a control device that is communicatively coupled to the sensor device;
determining, by the control device, a stress level indication as a function of the beat-to-beat time variation and the relative stroke volume variation, wherein the function comprises a ratio of beat-to-beat time and stroke volume variations, and wherein the beat-to-beat time and stroke volume variations are simultaneously obtained from the subject; and
outputting the stress level indication through an interface unit of a monitoring system to indicate a temporary stress level of the subject, using the stress level indication for further processing, and based on the further processing, indicating via the interface unit sleep cycles of the subject, or using the stress level indication for further processing, and based on the further processing, giving an early warning of a pathological condition via the interface unit.

2. The method according to claim 1 , wherein the beat-to-beat time variation and the relative stroke volume variation are determined from a sensor signal of the sensor device.

3. The method according to claim 1 ,
wherein the sensor device comprises a first sensor and a second sensor, and
wherein the beat-to-beat time variation is determined from a sensor signal of the first sensor and the relative stroke volume variation is determined from a sensor signal of the second sensor.

4. The method according to claim 2 , wherein at least one of the beat-to-beat time variation and the relative stroke volume variation are obtained from a ballistocardiologic signal generated with an accelerometer or an angular rate sensor.

5. The method according to claim 1 , wherein at least one of the beat-to-beat time variation and the relative stroke volume variation are obtained from a blood pressure wave signal generated with a pressure sensor.

6. The method according to claim 1 , wherein the beat-to-beat time variation is calculated by low pass filtering absolute values of consecutive beat-to-beat time differences or the stroke volume variation is calculated by low pass filtering consecutive stroke volume value differences.

7. The method according to claim 1 , wherein the stress level indication is displayed through a user interface of a monitoring system.

8. The method according to claim 1 , wherein the stress level indication is used for further processing in a monitoring system where additional signals or physiological parameters of the subject are available.

9. The method according to claim 1 , wherein the stress level indication is computed with the function
SI =HRV/SVV
wherein SI is the stress level indication, HRV is the beat-to-beat time variation, and SVV is the stroke volume variation.

10. The method according to claim 1 , wherein the stress level indication is computed with the function
SI =HRV/(SVV/SV)
wherein SI is the stress level indication, HRV is the beat-to-beat time variation, SVV is the stroke volume variation, and SV is an average stroke volume of the subject during a measurement period.

11. The method according to claim 1 , wherein the stress level indication is computed with the function
SI =HRV/(1 +k * SVV/SV)
or
SI =HRV/(SVV/SV){circumflex over ( 0 )} k
wherein SI is the stress level indication, HRV is the beat-to-beat time variation, SVV is the stroke volume variation, SV is an average stroke volume of the subject during a measurement period, and k is a selected coefficient.

12. The method according to claim 1 , wherein the stress level indication is computed with the function
SI =HFHRV/(LFHRV*SVV/SV) =(HFHRV*SV)/(LFHRV*SVV)
wherein SI is the stress level indication, LFHRV is the heart rate variability in the low frequency band, HFHRV is heart rate variability in the high frequency band, SVV is the stroke volume variation, SV is an average stroke volume of the subject during a measurement period.

13. The method according to claim 12 , further comprising outputting an indication of sleep cycles of the subject computed from the stress level indication signal SI.

14. A computer program product embodied on a non-transitory computer-readable medium, said computer-readable medium encoding instructions which, when run on a computer, executes the method of claim 1 .

15. A stress monitoring system, comprising:
a sensor device attached to a subject, the sensor device configured to simultaneously obtain beat-to-beat time variation and a relative stroke volume variation of the heart of the subject; and
a control device configured to determine a stress level indication as a function of the beat-to-beat time variation and the relative stroke volume variation,
wherein the sensor device is further configured to output the beat-to-time variation and the stroke volume variation to the control device that is communicatively coupled to the sensor device,
wherein the function comprises a ratio of beat-to-beat time and stroke volume variations, and wherein the beat-to-beat time and stroke volume variations are simultaneously obtained from the subject, and
wherein the control device is further configured to output the stress level indication through an interface unit of the stress monitoring system to indicate a temporary stress level of the subject, use the stress level indication for further processing, and based on the further processing, indicating via the interface unit sleep cycles of the subject, or use the stress level indication for further processing, and based on the further processing, giving an early warning of a pathological condition via the interface unit.

16. The system according to claim 15 , wherein the control device is configured to compute the beat-to-beat time variation and the relative stroke volume variation from one sensor signal of the sensor device.

17. The system according to claim 15 ,
wherein the sensor device comprises a first sensor and a second sensor, and
wherein the beat-to-beat time variation is determined from a sensor signal of the first sensor, and the relative stroke volume variation is determined from another sensor signal of the second sensor.

18. The system according to claim 15 , wherein the system includes an accelerometer or an angular rate sensor, and the determining unit is configured to compute the beat-to-beat time variation or the relative stroke volume variation from a ballistocardiologic signal generated with the accelerometer or the angular rate sensor.

19. The system according to claim 16 , wherein the system includes a pressure sensor, and wherein the determining unit is configured to compute the beat-to-beat time variation or the relative stroke volume variation from a blood pressure wave signal gencrated with the pressure sensor.

20. The system according to claim 18 , wherein heartbeats are the detected by comparing a sequence of successive maxima and minima of the ballistocardiologic signal or the blood pressure wave signal to a preset threshold value.

21. The system according to claim 15 , wherein the function for computing the stress level indication is
SI =HRV/SVV
wherein SI is the stress level indication, HRV is the beat-to-beat time variation, and SVV is the st

Assignees

• Murata Manufacturing Co

Inventors

• Meriheinä Ulf

Classifications

• A61B5/4812

  Detecting sleep stages or cycles · CPC title

• A61B5/165 Primary

  Evaluating the state of mind, e.g. depression, anxiety · CPC title

• A61B5/1116

  Determining posture transitions · CPC title

• A61B5/1102

  Ballistocardiography · CPC title

• A61B5/029 Primary

  Measuring blood output from the heart, e.g. minute volume · CPC title