Deep learning algorithms for heartbeats detection
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United States of America Patent
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Jul 14, 2020
Grant Date -
Sep 6, 2018
app pub date -
Nov 21, 2017
filing date -
Mar 2, 2017
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Abstract
A system that detects heartbeats includes a sensor or a transducer and algorithms based on deep learning. The algorithms employ techniques of artificial intelligence that enable the system to extract heartbeat features under low signal-to-noise-ratio (SNR) conditions when a user is exercising. The algorithms can be applied to various technologies for heart rate monitoring such as ultrasound Doppler, photoplethysmogram (PPG), electrocardiogram (EKG), acoustic, pressure/force sensing and laser/RF Doppler, among other types of sensing methods.
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