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Automatic Detection of Atrial Fibrillation from Single-Lead ECG Using Deep Learning of the Cardiac Cycle

Objective and Impact Statement. Atrial fibrillation (AF) is a serious medical condition that requires effective and timely treatment to prevent stroke. We explore deep neural networks (DNNs) for learning cardiac cycles and reliably detecting AF from single-lead electrocardiogram (ECG) signals. Intro...

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Detalles Bibliográficos
Autores principales:	Dubatovka, Alina, Buhmann, Joachim M.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	AAAS 2022
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10521743/ https://www.ncbi.nlm.nih.gov/pubmed/37850161 http://dx.doi.org/10.34133/2022/9813062

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