Life-threatening ventricular arrhythmia prediction in patients with dilated cardiomyopathy using explainable electrocardiogram-based deep neural networks( )

AIMS: While electrocardiogram (ECG) characteristics have been associated with life-threatening ventricular arrhythmias (LTVA) in dilated cardiomyopathy (DCM), they typically rely on human-derived parameters. Deep neural networks (DNNs) can discover complex ECG patterns, but the interpretation is ham...

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Detalles Bibliográficos
Autores principales: Sammani, Arjan, van de Leur, Rutger R, Henkens, Michiel T H M, Meine, Mathias, Loh, Peter, Hassink, Rutger J, Oberski, Daniel L, Heymans, Stephane R B, Doevendans, Pieter A, Asselbergs, Folkert W, te Riele, Anneline S J M, van Es, René
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559909/
https://www.ncbi.nlm.nih.gov/pubmed/35762524
http://dx.doi.org/10.1093/europace/euac054

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9559909/
https://www.ncbi.nlm.nih.gov/pubmed/35762524
http://dx.doi.org/10.1093/europace/euac054

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