Inside the “brain” of an artificial neural network: an interpretable deep learning approach to paroxysmal atrial fibrillation diagnosis from electrocardiogram signals during sinus rhythm

BACKGROUND: With the ongoing, rapid advances in Deep Learning (DL), such solutions can now detect medical conditions even invisible to the human eye. In this direction, efforts have been made to develop DL algorithms that diagnose paroxysmal atrial fibrillation (PAF) from electrocardiogram (ECG) sig...

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Detalles Bibliográficos
Autores principales: Pantelidis, P, Oikonomou, E, Lampsas, S, Souvaliotis, N, Spartalis, M, Vavuranakis, M A, Bampa, M, Papapetrou, P, Siasos, G, Vavuranakis, M
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Abstracts
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779760/
http://dx.doi.org/10.1093/ehjdh/ztac076.2781

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9779760/
http://dx.doi.org/10.1093/ehjdh/ztac076.2781

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