METHOD AND APPARATUS FOR HIGH ACCURACY PHOTOPLETHYSMOGRAM BASED ATRIAL FIBRILLATION DETECTION USING WEARABLE DEVICE

摘要

An apparatus includes a sensor module, a data processing module, a quality assessment module and an event prediction module. The sensor module provides biosignal data samples and motion data samples. The data processing module processes the biosignal data samples to remove baseline and processes the motion data samples to generate a motion significant measure. The quality assessment module generates a signal quality indicator based on the processed biosignal data sample segments and the corresponding motion significance measure using a first deep learning model. The event prediction module generates an event prediction result based on the processed biosignal data sample segments associated with a desired signal quality indicator using a second deep learning model.