METHOD FOR DETECTING HEARTBEAT AND/OR RESPIRATION

• US 20110257536A1
• Filed: 09/15/2008
• Published: 10/20/2011
• Est. Priority Date: 09/15/2008
• Status: Abandoned Application

• Current Assignee: Nanyang Technology University
• Original Assignee: Nanyang Technology University
• Inventors: Yang, Fan, Yu, Zhuliang, Ser, Wee
• Application Number:
  US13/063,964
• Publication Number:
  US 20110257536A1
• Time in Patent Office: Days
• US Class Current: 600/484
• 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 5/024 Detecting, measuring or recording pulse rate or heart rate A61B5/0205, A61B5/021 take precedence
• CPC Class Codes: A61B 5/0507 using microwaves or terahertz waves
• CPC Class Codes: A61B 5/0816 Measuring devices for examining respiratory frequency measuring frequency of electric signals G01R23/00
• CPC Class Codes: A61B 5/7257 using Fourier transforms

Abstract

A method for detecting heartbeat and/or respiration is provided. The method provided includes receiving a wave signal, and analyzing the received wave signal using a heartbeat and/or respiratory model, thereby providing a result signal indicating whether the received wave signal represents heartbeat and/or respiration.

Claims

1. A method for detecting heartbeat and/or respiration, the method comprising

receiving a wave signal;

and

analyzing the received wave signal using a heartbeat and/or respiratory model, thereby providing a result signal indicating whether the received wave signal represents heartbeat and/or respiration.

2. The method of claim 1, further comprising providing an estimate of respiratory and/or heartbeat rate.

3. The method of claim 1 or 2,

wherein analyzing the received wave signal using a heartbeat and/or respiratory model comprises carrying out a spectral transformation on a signal dependent from the received wave signal;

wherein components of the transformed signal, the frequency value of which is below a predefined frequency threshold, are used for providing the result signal.

4. The method of claim 3,

wherein the predefined frequency threshold is in a range from about 0.5 Hz to about 3 Hz.

5. The method of claim 3,

wherein the predefined frequency threshold is in a range from about 0.2 Hz to about 1 Hz.

6. The method of claims 3 to 5,

wherein the spectral transformation is a Fourier Transformation.

7. The method of claims 1 to 6,

wherein analyzing the received wave signal using a heartbeat and/or respiratory model comprises:

carrying out a regression analysis on a signal dependent from the received wave signal, thereby generating regression parameters; and

carrying out a spectral transformation on the signal dependent from the received wave signal using the regression parameters;

wherein components of the transformed signal, the frequency value of which is in a predefined frequency range, are used for providing the result signal.

8. The method of claims 1 to 7,

wherein the heartbeat and/or respiratory model comprises a Bayesian-filter like heartbeat and/or respiratory model.

9. The method of claim 8,

wherein the Bayesian-filter like heartbeat and/or respiratory model comprises an estimation method based on an extended Kalman filter.

10. The method of claim 8,

wherein the Bayesian-filter like heartbeat and/or respiratory model comprises an estimation method based on an unscented Kalman filter.

11. The method of claim 8,

wherein the Bayesian-filter like heartbeat and/or respiratory model comprises an estimation method based on a Particle filter.

12. The method of claims 8 to 11,

wherein analyzing the received wave signal using a heartbeat and/or respiratory model comprises

carrying out a transformation on a signal dependent from the received wave signal;

determining an observation signal comprising the transformed signal; and

carrying out a statistical analysis on the observation signal;

wherein the result signal is provided based on the result of the statistical analysis.

13. The method of claims 1 to 12,

wherein the received wave signal is an electromagnetic wave signal.

14. The method of claim 13,

wherein the received wave signal is a continuous wave electromagnetic wave signal.

15. The method of claim 13,

wherein the electromagnetic wave signal has a frequency in a range of a radio wave signal transmitted from a sensor device.

16. The method of claims 13 to 15, further comprising:

beamforming the received wave signal.

17. The method of claims 1 to 12, further comprising:

transmitting a wave signal to be reflected, wherein the received wave signal comprises the reflected wave signal.

18. The method of claims 13 to 16, further comprising:

transmitting a wave signal to be reflected, wherein the received wave signal comprises the reflected wave signal.

19. The method of claims 13 to 16 and 18,

wherein the received wave signal is the transmitted wave signal modulated by reflection.

20. The method of claim 19,

wherein the received wave signal is the transmitted wave signal reflected by a living being and modulated by the reflection.

21. The method of claim 20,

wherein the transmitted wave signal is modulated based on the motion of the heart wall and the chest of the living being.

22. The method of claims 13 to 16 and 18 to 21,

wherein the received wave signal is the transmitted wave signal phase modulated by reflection.

23. The method of claim 21 or 22, further comprising:

beamforming the transmitted wave signal.

24. The method of claims 13 to 16 and 18 to 23,

wherein analyzing the received wave signal comprises demodulating the received wave signal.

25. A device for detecting heartbeat and/or respiration, the device comprising:

a receiver unit configured to receive a wave signal; and

an analysis unit configured to analyze the received wave signal using a heartbeat and/or respiratory model, thereby providing a result signal indicating whether the received wave signal represents heartbeat and/or respiration.

26. The device of claim 25,

wherein the heartbeat and/or respiratory model comprises a Bayesian-filter like heartbeat and/or respiratory model.

27. The device of claim 26,

wherein the Bayesian-filter like heartbeat and/or respiratory model comprises an estimation unit based on an extended Kalman filter.

28. The device of claim 26,

wherein the Bayesian-filter like heartbeat and/or respiratory model comprises an estimation unit based on an unscented Kalman filter.

29. The device of claim 26,

wherein the Bayesian-filter like heartbeat and/or respiratory model comprises an estimation unit based on a Particle filter.

30. The device of claims 25 to 29,

wherein the received wave signal is an electromagnetic wave signal.

31. The device of claim 30, further comprising:

at least one antenna; and

a first beamforming unit configured to beamform the received wave signal.

32. The device of claim 31, further comprising:

a transmitter unit configured to transmit a transmit wave signal to be reflected, wherein the received wave signal comprises the reflected wave signal.

33. The device of claim 32, further comprising:

a second beamforming unit configured to beamform the transmit wave signal.