Application US20190046054

SYSTEM AND METHOD FOR REAL-TIME HEARTBEAT EVENTS DETECTION USING LOW-POWER MOTION SENSOR
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US20190046054

1. A method for an electronic device, comprising: (9) (10)

receiving, via at least one motion sensor, channels of raw motion signals for a user;

monitoring the channels for motion activity;

selecting a present channel based on the motion activity;

performing BCG reconstruction for the raw motion signals;

determining BCG event locations from the raw motion signals;

generating BCG segments from the raw motion signals using the BCG event locations;

cross-correlating, for the present channel, a first BCG segment to a second BCG segment, wherein the first BCG segment is one of the BCG segments for the present channel, the second BCG segment is another of the BCG segments for the present channel, and the second BCG segment is immediately after the first BCG segment;

determining a state of a BCG reset flag, wherein the BCG reset flag is set to a logical zero when the cross-correlation is above a first threshold, and the BCG reset flag is set to a logical one when the cross-correlation is equal to or below the first threshold;

identifying one or more of a health information for the user from the BCG reset flag; and

displaying at least one of the one or more of the health information on a display.

2. The method of claim 1, comprising filtering signals above a first frequency in the raw motion signals prior to generating the BCG segments. (0)

3. The method of claim 1, wherein the motion sensor is a three-axis accelerometer. (0)

4. The method of claim 1, wherein the present channel is selected from among the channels using window-based quantification. (0)

5. The method of claim 1, wherein the BCG event locations are generated using reconstructed signals, comprising: (0) (2)

6. The method of claim 1, wherein the BCG reset flag is used to track one or more of the health information comprising: a user's activity level, sleep habits, sleep apnea, sleep efficiency, sleep quality, cardiac arrhythmia detection, and stress monitoring. (0)

7. The method of claim 1, wherein the BCG reset flag is used to determine a BCG signal quality indicator. (0)

8. The method of claim 1, wherein the BCG reset flag is used to identify one or both of: snoring and sleep stage. (0)

9. The method of claim 1, wherein the BCG reset flag is used to continuously monitor one or more of: a user's blood pressure, a user's heart rate variability. (0)

10. The method of claim 1, comprising transmitting the health information to another electronic device. (0)

11. An electronic device, comprising: (9) (4)

at least one motion sensor configured to detect raw motion signals for a user and output the raw motion signals as individual channels;

a processor configured to: monitor the channels for motion activity; and

select a present channel based on the motion activity;

a transform module configured to transform the raw motion signals to reconstructed signals, wherein the processor is further configured to: determine BCG event locations from the reconstructed signals;

generate BCG segments from the raw motion signals using the BCG event locations;

cross-correlate, for the present channel, a first BCG segment to a second BCG segment, wherein the first BCG segment is one of the BCG segments for the present channel, the second BCG segment is another of the BCG segments for the present channel, and the second BCG segment is immediately after the first BCG segment;

determine a state of a BCG reset flag, wherein the BCG reset flag is set to a logical zero when the cross-correlation is above a first threshold, and the BCG reset flag is set to a logical one when the cross-correlation is equal to or below the first threshold; and

identify one or more of a health information for the user from the BCG reset flag; and

a display configured to display at least one of the one or more of the health information.

12. The electronic device of claim 11, comprising a filter block configured to filter signals above a first frequency in the raw motion signals prior to segmenting the raw motion signal. (0)

13. The electronic device of claim 11, wherein the at least one motion sensor is a three-axis accelerometer. (0)

14. The electronic device of claim 11, wherein the processor is configured to select the present channel from among the channels using window-based quantification. (0)

15. The electronic device of claim 11, wherein the transform module comprises: (0) (2)

16. The electronic device of claim 11, wherein the processor is configured to use the BCG reset flag to track one or more of the health information comprising: a user's activity level, sleep habits, sleep apnea, sleep efficiency, sleep quality, cardiac arrhythmia detection, and stress monitoring. (0)

17. The electronic device of claim 11, wherein the processor is configured to use the BCG reset flag to determine a BCG signal quality indicator. (0)

18. The electronic device of claim 11, wherein the processor is configured to use the BCG reset flag to identify one or both of: snoring and sleep stage. (0)

19. The electronic device of claim 11, wherein the processor is configured to use the BCG reset flag to continuously monitor one or more of: a user's blood pressure, a user's heart rate variability. (0)

20. The electronic device of claim 11, comprising a transceiver configured to transmit the health information to another electronic device. (0)

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Application US20190046054

SYSTEM AND METHOD FOR REAL-TIME HEARTBEAT EVENTS DETECTION USING LOW-POWER MOTION SENSOR

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