A new deep learning algorithm of 12-lead electrocardiogram for identifying atrial fibrillation during sinus rhythm

Abstract Atrial fibrillation (AF) is the most prevalent arrhythmia and is associated with increased morbidity and mortality. Its early detection is challenging because of the low detection yield of conventional methods. We aimed to develop a deep learning-based algorithm to identify AF during normal...

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Bibliographic Details
Main Authors: Yong-Soo Baek, Sang-Chul Lee, Wonik Choi, Dae-Hyeok Kim
Format: article
Language:EN
Published: Nature Portfolio 2021
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Online Access:https://doaj.org/article/48682c14524e4e05a6ad4f592d0e3021
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