Self-supervised autoencoder network for robust heart rate extraction from noisy photoplethysmogram: Applying blind source separation to biosignal analysis

Biosignals can be viewed as mixtures measuring particular physiological events, and blind source separation (BSS) aims to extract underlying source signals from mixtures. This paper proposes a self-supervised multi-encoder autoencoder (MEAE) to separate heartbeat-related source signals from photople...

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Bibliographic Details

Published in:	Computers in biology and medicine Vol. 199; p. 111319
Main Authors:	Webster, Matthew B., Lee, Dongheon, Lee, Joonnyong
Format:	Journal Article
Language:	English
Published:	United States Elsevier Ltd 01.12.2025
Subjects:	Biosignal processing Blind source separation Denoising Heart rate detection Photoplethysmogram Self-supervised learning Biosignal processing Heart rate detection Blind source separation Self-supervised learning Photoplethysmogram Denoising
ISSN:	0010-4825, 1879-0534, 1879-0534
Online Access:	Get full text
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