End-to-end non-invasive ECG signal generation from PPG signal: a self-supervised learning approach

Electrocardiogram (ECG) signals are frequently utilized for detecting important cardiac events, such as variations in ECG intervals, as well as for monitoring essential physiological metrics, including heart rate (HR) and heart rate variability (HRV). However, the accurate measurement of ECG traditi...

Descrición completa

Detalles Bibliográficos

Principais autores:	Murat Yalcin, Marc Erich Latoschik
Formato:	Artigo
Idioma:	Inglês
Publicado:	Frontiers Media S.A. 2026-02-01
Series:	Frontiers in Physiology
Assuntos:	deep learning electrocardiogram generative adversarial network healthcare photoplethysmogram physiological signals
Acceso en liña:	https://www.frontiersin.org/articles/10.3389/fphys.2026.1694995/full
Tags:	Engadir etiqueta Sen Etiquetas, Sexa o primeiro en etiquetar este rexistro!