HEART RATE MONITOR

• US 20140018635A1
• Filed: 01/07/2013
• Published: 01/16/2014
• Est. Priority Date: 01/05/2012
• Status: Abandoned Application

• Current Assignee: Scosche Industries Incorporated
• Original Assignee: Scosche Industries Incorporated
• Inventors: BUCHHEIM, James, HENNIG, Arne
• Application Number:
  US13/735,997
• Publication Number:
  US 20140018635A1
• Time in Patent Office: Days
• US Class Current: 600/301
• CPC Class Codes: A61B 2560/0443 Modular apparatus
• CPC Class Codes: A61B 2562/0219 Inertial sensors, e.g. accelerometers, gyroscopes, tilt switches
• CPC Class Codes: A61B 5/0004 characterised by the type of physiological signal transmitted
• CPC Class Codes: A61B 5/0022 Monitoring a patient using a global network, e.g. telephone networks, internet
• CPC Class Codes: A61B 5/0075 by spectroscopy, i.e. measuring spectra, e.g. Raman spectroscopy, infrared absorption spectroscopy A61B5/0071 takes precedence
• CPC Class Codes: A61B 5/0082 adapted for particular medical purposes
• 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 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• CPC Class Codes: A61B 5/11 Measuring movement of the entire body or parts thereof, e.g. head or hand tremor, mobility of a limb for measuring pulse A61B5/02 ;A61B5/1038 takes precedence; motion detection to correct for motion artifacts in physiological signals A61B5/721
• CPC Class Codes: A61B 5/681 Wristwatch-type devices
• CPC Class Codes: A61B 5/6824 Arm or wrist
• CPC Class Codes: A61B 5/6844 Monitoring or controlling distance between sensor and tissue
• CPC Class Codes: A61B 5/721 using a separate sensor to detect motion or using motion information derived from signals other than the physiological signal to be measured
• CPC Class Codes: A61B 5/7221 Determining signal validity, reliability or quality A61B5/7207 and A61B5/7217 take precedence
• CPC Class Codes: A61B 5/725 using specific filters therefor, e.g. Kalman or adaptive filters A61B5/316 take precedence
• CPC Class Codes: A61B 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

A signal processing apparatus for determining a heart rate includes a plurality of sensors configured to detect changes in blood properties in a user'"'"'s skin and a heart rate Kalman filter configured to compute a heart rate on the basis of signals obtained from the plurality of sensors. A method of computing a heart rate using the apparatus includes detecting changes in blood properties with a plurality of sensors, and computing with a heart rate Kalman filter the heart rate on the basis of signals obtained from the plurality of sensors.

Claims

1. A signal processing apparatus to determine a heart rate comprising:

a plurality of sensors configured to detect changes in blood properties in a user'"'"'s skin; and

a heart rate Kalman filter configured to compute a heart rate on the basis of signals obtained from the plurality of sensors;

a communication link between the sensors and the heart rate Kalman filter to transmit the signals; and

a housing to contain at least the plurality of sensors to maintain them in proximity to the user'"'"'s skin.

2. The apparatus of claim 1, wherein the plurality of sensors comprise:

an optical sensor comprising a plurality of light emitting devices and at least one photodetector, wherein the photodetector is configured to detect optical signals from the light emitting devices and ambient light; and

an accelerometer configured to detect motion adding a noise signal to the optical signals.

3. The apparatus of claim 2, further comprising a driver to control a periodic emission level and timing of light output from the light emitting devices and a period of off state of the light emitting devices.

4. The apparatus of claim 3, further comprising a signal quality estimator to determine the emission level of the light emitting devices on the basis of the detected optical signals.

5. The apparatus of claim 4, wherein a one or more of a plurality of filters is configured to filter noise outside specified frequency bands from the optical signals, and wherein filtered noise from an ambient signal when the light emitting devices are off is subtracted from the optical signals when the light emitting devices are on.

6. The apparatus of claim 5, further comprising an adaptive noise removal filter configured to remove from the noise filtered optical signals noise on the basis of the accelerometer noise signal and provide a noise removal filtered signal.

7. The apparatus of claim 6, further comprising a spectrum analyzer to provide spectra of the optical signals, accelerometer noise signal, and noise removal filtered signal, wherein the spectra are used to provide a coarse rate heart estimation.

8. The apparatus of claim 7, further comprising a plurality of adaptive tracking filters to determine a heart rate value on the basis of the coarse heart rate estimation, the error signal from the signal quality estimator and the noise removal filtered signal.

9. The apparatus of claim 8, wherein the heart rate Kalman filter is configured to compute a heart rate on the basis of an error signal from the signal quality estimator and the heart rate value from the plurality of adaptive tracking filters.

10. A signal processing apparatus comprising:

means for generating a plurality of sensor signals corresponding to changes in blood properties; and

means for filtering with a Kalman filter and one or more of a plurality of other filters to compute a heart rate on the basis of the sensor signals.

11. The apparatus of claim 10, wherein the sensor means comprises:

means for optical sensing comprising a plurality of light emitting devices and one or more photodetectors, wherein the photodetector is configured to detect optical signals from the light emitting devices and ambient light;

means for acceleration sensing configured to detect motion adding a noise signal to the optical signals;

means for processing the optical and noise signals to compute a heart rate; and

means for outputting from the from the processor means processor a one or more status commands on the basis of the computed heart rate.

12. The apparatus of claim 11, further comprising a controlling means to control a periodic emission level and timing of light output from the light emitting devices and a period of off state of the light emitting devices.

13. The apparatus of claim 12, further comprising a signal quality estimation means to determine a drive level on the basis of the detected optical signals.

14. The apparatus of claim 12, wherein one or more of the filters is configured to filter noise outside specified frequency bands from the optical signals, comprising subtracting filtered noise from an ambient signal when the light emitting devices are off from the optical signals when the light emitting devices are on.

15. The apparatus of claim 14, further comprising adaptive noise filtering means to remove noise on the basis of the acceleration sensing means noise signal from the noise filtered optical signals and provide a signal filtered to remove motion noise.

16. The apparatus of claim 15, further comprising:

a spectral analysis means to provide spectra of the optical signals, accelerometer noise signal, and noise removal filtered; and

an estimation means for determining a coarse rate heart on the basis of the spectra.

17. The apparatus of claim 16, further comprising a plurality of adaptive tracking filters to determine a heart rate value on the basis of the coarse heart rate estimation, the error signal from the signal quality estimation means and the noise removal filtered signal.

18. The apparatus of claim 17, further comprising a heart rate Kalman filter to compute the heart rate on the basis of an error signal from the signal quality estimation means and the heart rate value from the plurality of adaptive tracking filters.

19. The apparatus of claim 18, further comprising means for removing an optical signal noise at least due at least to the ambient light and the motion noise signal to compute a heart rate.

20. A method of computing a user'"'"'s heart rate, comprising:

detecting changes in blood properties with a plurality of sensors; and

computing with at least one of a heart rate Kalman filter and one or more of a plurality of other filters a heart rate on the basis of signals obtained from the plurality of sensors.

21. The method of claim 20, wherein the plurality of sensors comprise an optical sensor comprising a plurality of light emitting devices and one or more photodetectors, the method further comprising;

detecting with the photodetectors optical signals from the light emitting devices and ambient light;

detecting with an accelerometer a motion that adds a noise signal to the optical signals;

providing the optical and noise signals to a processor for computing the heart rate; and

outputting from the processor a one or more status commands on the basis of the computed heart rate.

22. The method of claim 21, further comprising controlling with a driver a periodic emission level and timing of light output from the light emitting devices and a period of off state of the light emitting devices.

23. The method of claim 22, further comprising determining with a signal quality estimator a drive level of the light emitting devices on the basis of the detected optical signals.

24. The method of claim 23, wherein a one or more of the filters is configured to filter noise outside specified frequency bands from the optical signals, comprising subtracting filtered noise from an ambient signal when the light emitting devices are off from the optical signals when the light emitting devices are on.

25. The method of claim 24 further comprising removing, with an adaptive noise removal filter, noise on the basis of the accelerometer noise signal from the noise filtered optical signals and provide a noise removal filtered signal.

26. The method of claim 25, further comprising:

providing, with a spectrum analyzer, spectra of the optical signals, accelerometer noise signal, and noise removal filtered signal; and

determining a coarse rate heart estimation on the basis of the spectra.

27. The method of claim 26, further comprising determining, with a plurality of adaptive tracking filters, a heart rate value on the basis of the coarse heart rate estimation, the error signal from the signal quality estimator and the noise removal filtered signal.

28. The method of claim 27, further comprising computing a heart rate with the heart rate Kalman filter to compute the heart rate on the basis of an error signal from the signal quality estimator and the heart rate value from the plurality of adaptive tracking filters.

29. A computer readable media including program instructions which when executed by a processor cause the processor to perform the method comprising:

detecting changes in blood properties with a plurality of sensors; and

computing with at least one of a heart rate Kalman filter and one or more of a plurality of other filters a heart rate on the basis of signals obtained from the plurality of sensors.

30. The computer readable media program instructions of claim 29 further causing the processor to execute the method of:

detect optical signals including ambient light and light from an optical sensor comprising a plurality of light emitting devices and one or more photodetectors;

detecting with an accelerometer a motion that adds a noise signal to the optical signals;

providing the optical and noise signals to a processor for computing the heart rate; and

outputting from the processor a one or more status commands on the basis of the computed heart rate.

31. The computer readable media program instructions of claim 30, the method further comprising controlling with a driver a periodic emission level and timing of light output from the light emitting devices and a period of off state of the light emitting devices.

32. The computer readable media program instructions of claim 31, the method further comprising determining with a signal quality estimator a drive level of the light emitting devices on the basis of the detected optical signals.

33. The computer readable media program instructions of claim 32, wherein a one or more of the filters is configured to filter noise outside specified frequency bands from the optical signals, comprising subtracting filtered noise from an ambient signal when the light emitting devices are off from the optical signals when the light emitting devices are on.

34. The computer readable media program instructions of claim 33, the method further comprising removing, with an adaptive noise removal filter, noise on the basis of the accelerometer noise signal from the noise filtered optical signals and provide a noise removal filtered signal.

35. The computer readable media program instructions of claim 34, the method further comprising:

providing, with a spectrum analyzer, spectra of the optical signals, accelerometer noise signal, and noise removal filtered signal; and

determining a coarse rate heart estimation on the basis of the spectra.

36. The computer readable media program instructions of claim 35, the method further comprising:

controlling a spectrum analyzer to provide spectra of the optical signals, accelerometer noise signal, and noise removal filtered signal; and

determining a coarse rate heart estimation on the basis of the spectra.

37. The computer readable media program instructions of claim 36, the method further comprising determining, with a plurality of adaptive tracking filters, a heart rate value on the basis of the coarse heart rate estimation, the error signal from the signal quality estimator and the noise removal filtered signal.

38. The computer readable media program instructions of claim 367, the method further comprising computing a heart rate with the heart rate Kalman filter to compute the heart rate on the basis of an error signal from the signal quality estimator and the heart rate value from the plurality of adaptive tracking filters.