Deep conditional generative model for personalization of 12-lead electrocardiograms and cardiovascular risk prediction

12-lead electrocardiograms (ECGs) are a cornerstone for diagnosing and monitoring cardiovascular diseases (CVDs). They play a key role in detecting abnormalities such as arrhythmias and myocardial infarction, enabling early intervention and risk stratification. However, traditional analysis relies h...

Full description

Bibliographic Details

Published in:	Frontiers in digital health Vol. 7; p. 1558589
Main Authors:	Sang, Yuling, Banerjee, Abhirup, Beetz, Marcel, Grau, Vicente
Format:	Journal Article
Language:	English
Published:	Switzerland Frontiers Media S.A 16.04.2025
Subjects:	cardiac MRI cardiovascular disease cardiovascular risk prediction Digital Health ECG electrodes ECG generation variational autoencoder cardiovascular disease ECG generation cardiovascular risk prediction cardiac MRI ECG electrodes variational autoencoder
ISSN:	2673-253X, 2673-253X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!