BayesBeat: A Bayesian Deep Learning Approach for Atrial Fibrillation Detection from Noisy Photoplethysmography Data
Published in
arXiv.org(2020)External Links:
TL
TL;DR
A novel deep learning based approach, BayesBeat is proposed that leverages the power of Bayesian deep learning to accurately infer AF risks from noisy PPG signals, and at the same time provide the uncertainty estimate of the prediction.