Robust heart rate estimation

• US 9,662,023 B2
• Filed: 06/16/2015
• Issued: 05/30/2017
• Est. Priority Date: 06/16/2015
• Status: Active Grant

• Current Assignee: Qualcomm, Inc.
• Original Assignee: Qualcomm, Inc.
• Inventors: Martin, Russel Allyn, Puig, Carlos Manuel, Kulik, Victor, Samadani, Ramin
• Primary Examiner(s): KAHELIN, MICHAEL WILLIAM
• Application Number:
  US14/741,425
• Publication Number:
  US 20160367158A1
• Time in Patent Office: 714 Days
• CPC Class Codes: A61B 5/02416 using photoplethysmograph signals, e.g. generated by infrared radiation A61B5/14552 takes precedence
• CPC Class Codes: A61B 5/02427 Details of sensor
• CPC Class Codes: A61B 5/02438 with portable devices, e.g. worn by the patient
• 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 5/7278 Artificial waveform generation or derivation, e.g. synthesising signals from measured signals A61B5/327 takes precedence

Abstract

Disclosed embodiments pertain to the measurement of heart rate in the presence of motion and noise. Spectral peaks in measurements by an optical sensor are compared with spectral peaks obtained from a motion sensor signal measurements, to obtain a fundamental frequency in the optical sensor signal, where the fundamental frequency is associated with a user'"'"'s heart rate. A first heart rate may be estimated based on the fundamental frequency. A variety of quality metrics may be determined for the first heart rate estimate. A second estimated heart rate may be determined based by processing a frequency domain representation of the optical sensor signal based on a frequency domain representation of the motion sensor signal. One or more of the previously determined quality metrics may be dynamically adjusted based on a comparison of first and second estimated heart rates.

Claims

1. A processor-implemented method comprising:

obtaining a plurality of optical sensor signal measurements of an optical sensor signal, the optical sensor signal measurements based, in part, on at least one cardiovascular parameter of a user;

obtaining a plurality of motion sensor signal measurements of a motion sensor signal, the motion sensor signal measurements based, in part, on motion of the user;

determining, based, in part, on a comparison of a spectral peaks obtained from the optical sensor signal measurements and spectral peaks obtained from the motion sensor signal measurements, a fundamental frequency associated with the optical sensor signal;

estimating a first heart rate based, in part, on the fundamental frequency; and

obtaining a first quality metric associated with the first heart rate, the first quality metric being based, at least in part, on;

a first sum, wherein the first sum is obtained by adding an amplitude of a spectral peak corresponding to the fundamental frequency to amplitudes of spectral peaks in a first subset of spectral peaks in the optical sensor signal, wherein the first subset of spectral peaks is selected from spectral peaks associated with integral multiples of the fundamental frequency in the optical sensor signal, and

a second sum obtained by adding the amplitudes of spectral peaks in a second subset of spectral peaks in the optical sensor signal, wherein the second subset of spectral peaks is selected from a set of spectral peaks in the optical sensor signal.

2. The processor-implemented method of claim 1, wherein:

the first quality metric is computed as a ratio of the first sum to the second sum.

3. The processor-implemented method of claim 1, further comprising:

obtaining a second quality metric associated with the first heart rate, the second quality metric based, in part, on;

a first power corresponding to a power of the spectral peak associated with the fundamental frequency, and

a second power corresponding to a power at a predetermined spectral distance from the fundamental frequency.

4. The processor-implemented method of claim 3, wherein:

the second quality metric is obtained as a ratio of the first power to a sum obtained by adding the first power to the second power.

5. The processor-implemented method of claim 3, further comprising:

obtaining a third quality metric based, in part, on a mathematical combination of the first quality metric and the second quality metric.

6. The processor-implemented method of claim 5, further comprising:

estimating a second heart rate by performing adaptive smoothing of the first heart rate, wherein the adaptive smoothing is based, in part, on the third quality metric.

7. The processor-implemented method of claim 6, further comprising:

obtaining a fourth quality metric, wherein the fourth quality metric is dynamically obtained based, in part, on a comparison of the first heart rate and the second heart rate.

8. The processor-implemented method of claim 1, wherein determining the fundamental frequency comprises:

obtaining a frequency domain representation of the optical sensor signal from the plurality of optical sensor signal measurements and a frequency domain representation of the motion sensor signal from the plurality of motion sensor signal measurements;

comparing spectral peaks in the frequency domain representation of the optical sensor signal to spectral peaks in the frequency domain representation of the motion sensor signal to determine one or more non-motion related spectral peaks in the frequency domain representation of the optical sensor signal; and

determining, from the one or more non-motion related spectral peaks in the frequency domain representation of the optical sensor signal, the fundamental frequency associated with the optical sensor signal.

9. A mobile device comprising:

an optical sensor to provide a plurality of optical sensor signal measurements of an optical sensor signal based, in part, on at least one cardiovascular parameter of a user;

a motion sensor to provide a plurality of motion sensor signal measurements of a motion sensor signal based, in part, on motion of the user;

a processor coupled to the optical sensor and the motion sensor, wherein the processor is configured to;

determine, based, in part, on a comparison of spectral peaks obtained from the optical sensor signal measurements and spectral peaks obtained from the motion sensor signal measurements, a fundamental frequency associated with the optical sensor signal;

estimate a first heart rate based, in part, on the fundamental frequency; and

obtain a first quality metric associated with the first heart rate, the first quality metric being based, at least in part, on;

a first sum, wherein the first sum is obtained by adding an amplitude of a spectral peak corresponding to the fundamental frequency to amplitudes of spectral peaks in a first subset of spectral peaks in the optical sensor signal, wherein the first subset of spectral peaks is selected from spectral peaks associated with integral multiples of the fundamental frequency in the optical sensor signal, and

a second sum obtained by adding the amplitudes of spectral peaks in a second subset of spectral peaks in the optical sensor signal, wherein the second subset of spectral peaks is selected from a set of spectral peaks in the optical sensor signal.

10. The mobile device of claim 9, wherein the processor is configured to:

obtain the first quality metric as a ratio of the first sum to the second sum.

11. The mobile device of claim 9, wherein the processor is further configured to:

obtain a second quality metric associated with the first heart rate, the second quality metric based, in part, on;

a first power corresponding to a power of the spectral peak associated with the fundamental frequency, and

a second power corresponding to a power at a predetermined spectral distance from the fundamental frequency.

12. The mobile device of claim 11, wherein the processor is configured to:

obtain the second quality metric is obtained as a ratio of the first power to a sum obtained by adding the first power to the second power.

13. The mobile device of claim 11, wherein the processor is further configured to:

obtain a third quality metric based, in part, on a mathematical combination of the first quality metric and the second quality metric.

14. The mobile device of claim 13, wherein the processor is further configured to:

estimate a second heart rate by performing adaptive smoothing of the first heart rate, wherein the adaptive smoothing is based, in part, on the third quality metric.

15. The mobile device of claim 14, wherein the processor is further configured to:

obtain a fourth quality metric, wherein the fourth quality metric is dynamically obtained based, in part, on a comparison of the first heart rate and the second heart rate.

16. The mobile device of claim 9, wherein to determine the fundamental frequency,

the processor is configured to:

obtain a frequency domain representation of the optical sensor signal from the plurality of optical sensor signal measurements and a frequency domain representation of the motion sensor signal measurements from the plurality of motion sensor signal measurements;

compare spectral peaks in the frequency domain representation of the optical sensor signal to spectral peaks in the frequency domain representation of the motion sensor signal to determine one or more non-motion related spectral peaks in the frequency domain representation of the optical sensor signal; and

determine, from the one or more non-motion related spectral peaks in the frequency domain representation of the optical sensor signal, the fundamental frequency associated with the optical sensor signal.

17. An apparatus comprising:

optical sensing means to provide a plurality of optical sensing means signal measurements of an optical sensing means signal based, in part, on at least one cardiovascular parameter of a user;

motion sensing means to provide a plurality of motion sensing means signal measurements of a motion sensing means signal based, in part, on motion of the user;

processing means coupled to the optical sensing means and the motion sensing means, wherein the processing means comprises;

means for determining, based, in part, on a comparison of a spectral peaks obtained from the optical sensing means signal measurements and spectral peaks obtained from the motion sensing means signal measurements, a fundamental frequency associated with the optical sensing means signal;

means for estimating a first heart rate based, in part, on the fundamental frequency; and

means for obtaining a first quality metric associated with the first heart rate, the first quality metric being based, at least in part, on;

a first sum, wherein the first sum is obtained by adding an amplitude of a spectral peak corresponding to the fundamental frequency to amplitudes of spectral peaks in a first subset of spectral peaks in the optical sensing means signal, wherein the first subset of spectral peaks is selected from spectral peaks associated with integral multiples of the fundamental frequency in the optical sensing means signal, and

a second sum obtained by adding the amplitudes of spectral peaks in a second subset of spectral peaks in the optical sensing means signal, wherein the second subset of spectral peaks is selected from a set of spectral peaks in the optical sensing means signal.

18. The apparatus of claim 17, wherein the processing means further comprises:

means for obtaining a second quality metric associated with the first heart rate, the second quality metric based, in part, on;

a first power corresponding to a power of the spectral peak associated with the fundamental frequency, and

a second power corresponding to a power at a predetermined spectral distance from the fundamental frequency.

19. The apparatus of claim 18, wherein the processing means further comprises:

means for obtaining a third quality metric based, in part, on a mathematical combination of the first quality metric and the second quality metric.

20. The apparatus of claim 19, wherein the processing means further comprises:

means for obtaining a second heart rate of the user by performing adaptive smoothing of the first heart rate, wherein the adaptive smoothing is based, in part, on the third quality metric.

21. The apparatus of claim 20, wherein the processing means further comprises:

means for dynamically obtaining a fourth quality metric based, in part, on a comparison of the first heart rate and the second heart rate.

22. The apparatus of claim 17, wherein means for determining the fundamental frequency comprises:

means for obtaining a frequency domain representation of the optical sensing means signal from the plurality of optical sensing means signal measurements and a frequency domain representation of the motion sensing means signal from the plurality of motion sensing means signal measurements;

means for comparing spectral peaks in the frequency domain representation of the optical sensing means signal to spectral peaks in the frequency domain representation of the motion sensing means signal to determine one or more non-motion related spectral peaks in the frequency domain representation of the optical sensing means signal; and

means for determining, from the one or more non-motion related spectral peaks in the frequency domain representation of the optical sensing means signal, the fundamental frequency associated with the optical sensing means signal.

23. A non-transitory computer-readable medium embodying instructions, which, when executed by a processor, perform steps in a method comprising:

obtaining a plurality of optical sensor signal measurements of an optical sensor signal, the optical sensor signal measurements based, in part, on at least one cardiovascular parameter of a user;

obtaining a plurality of motion sensor signal measurements of a motion sensor signal, the motion sensor signal measurements based, in part, on motion of the user;

determining, based, in part, on a comparison of a spectral peaks obtained from the optical sensor signal measurements and spectral peaks obtained from the motion sensor signal measurements, a fundamental frequency associated with the optical sensor signal;

estimating a first heart rate based, in part, on the fundamental frequency; and

obtaining a first quality metric associated with the first heart rate, the first quality metric being based, at least in part, on;

a first sum, wherein the first sum is obtained by adding an amplitude of a spectral peak corresponding to the fundamental frequency to amplitudes of spectral peaks in a first subset of spectral peaks in the optical sensor signal, wherein the first subset of spectral peaks is selected from spectral peaks associated with integral multiples of the fundamental frequency in the optical sensor signal, and

a second sum obtained by adding the amplitudes of spectral peaks in a second subset of spectral peaks in the optical sensor signal, wherein the second subset of spectral peaks is selected from a set of spectral peaks in the optical sensor signal.

24. The non-transitory computer-readable medium of claim 23, wherein:

the first quality metric is computed as a ratio of the first sum to the second sum.

25. The non-transitory computer-readable medium of claim 23, further comprising:

obtaining a second quality metric associated with the first heart rate, the second quality metric based, in part, on;

a first power corresponding to a power of the spectral peak associated with the fundamental frequency, and

a second power corresponding to a power at a predetermined spectral distance from the fundamental frequency.

26. The non-transitory computer-readable medium of claim 25, wherein:

the second quality metric is obtained as a ratio of the first power to a sum obtained by adding the first power to the second power.

27. The non-transitory computer-readable medium of claim 25, further comprising:

obtaining a third quality metric based, in part, on a mathematical combination of the first quality metric and the second quality metric.

28. The non-transitory computer-readable medium of claim 27, further comprising:

obtaining a second heart rate of the user by performing adaptive smoothing of the first heart rate, wherein the adaptive smoothing is based, in part, on the third quality metric.

29. The non-transitory computer-readable medium of claim 28, further comprising:

obtaining a fourth quality metric, wherein the fourth quality metric is dynamically obtained based, in part, on a comparison of the first heart rate and the second heart rate.

30. The non-transitory computer-readable medium of claim 23, wherein determining the fundamental frequency comprises:

obtaining a frequency domain representation of the optical sensor signal from the plurality of optical sensor signal measurements and a frequency domain representation of the motion sensor signal measurements from the plurality of motion sensor signal measurements;

comparing spectral peaks the frequency domain representation of the optical sensor signal to spectral peaks in the frequency domain representation of the motion sensor signal to determine one or more non-motion related spectral peaks in the frequency domain representation of the optical sensor signal; and

determining, from the one or more non-motion related spectral peaks in the frequency domain representation of the optical sensor signal, the fundamental frequency associated with the optical sensor signal.