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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Veröffentlicht in:	Computers in biology and medicine Jg. 199; S. 111319
Hauptverfasser:	Webster, Matthew B., Lee, Dongheon, Lee, Joonnyong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Elsevier Ltd 01.12.2025
Schlagworte:	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-Zugang:	Volltext
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