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

Internet

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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