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AI Biotech/Diagnostics: General Diagnostics

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Application US20190046054


Published 2019-02-14

System And Method For Real-time Heartbeat Events Detection Using Low-power Motion Sensor

As a non-limiting example, various aspects of this disclosure provide embodiments of real-time heartbeat events detection using low-power, low-noise motion sensor.



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2 Independent Claims

  • 1. A method for an electronic device, comprising: 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.

  • 11. An electronic device, comprising: 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.