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1. (WO2018160248) DEEP LEARNING ALGORITHMS FOR HEARTBEATS DETECTION

Pub. No.:    WO/2018/160248    International Application No.:    PCT/US2017/065467
Publication Date: Sat Sep 08 01:59:59 CEST 2018 International Filing Date: Sat Dec 09 00:59:59 CET 2017
IPC: A61B 5/04
Applicants: LOGOS CARE, INC.
Inventors: QIAN, Kaizhi
ZHANG, Yang
LO, Thomas, Y.
Title: DEEP LEARNING ALGORITHMS FOR HEARTBEATS DETECTION
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.