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...

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Vydáno v:	Frontiers in digital health Ročník 7; s. 1558589
Hlavní autoři:	Sang, Yuling, Banerjee, Abhirup, Beetz, Marcel, Grau, Vicente
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Switzerland Frontiers Media S.A 16.04.2025
Témata:	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
On-line přístup:	Získat plný text
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