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...
Main Authors: | Yong-Soo Baek, Sang-Chul Lee, Wonik Choi, Dae-Hyeok Kim |
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Format: | Article |
Language: | English |
Published: |
Nature Portfolio
2021-06-01
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Series: | Scientific Reports |
Online Access: | https://doi.org/10.1038/s41598-021-92172-5 |
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