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...

Celý popis

Podrobná bibliografia

Vydané v:	Computers in biology and medicine Ročník 199; s. 111319
Hlavní autori:	Webster, Matthew B., Lee, Dongheon, Lee, Joonnyong
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Elsevier Ltd 01.12.2025
Predmet:	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
On-line prístup:	Získať plný text
Tagy:	Pridať tag Žiadne tagy, Buďte prvý, kto otaguje tento záznam!