ECG data dependency for atrial fibrillation detection based on residual networks

Abstract Atrial fibrillation (AF) is an arrhythmia that can cause blood clot and may lead to stroke and heart failure. To detect AF, deep learning-based detection algorithms have recently been developed. However, deep learning models were often trained with limited datasets and were evaluated within...

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Autores principales: Hyo-Chang Seo, Seok Oh, Hyunbin Kim, Segyeong Joo
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
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Acceso en línea:https://doaj.org/article/0da4d25ba9034d199e05998b2199c177
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