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eess.SP2020
Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review
Shenda Hong, Yuxi Zhou, Junyuan Shang +2
Background:The electrocardiogram (ECG) is one of the most commonly used diagnostic tools in medicine and healthcare. Deep learning methods have achieved promising results on predic…
eess.SP2019
K-margin-based Residual-Convolution-Recurrent Neural Network for Atrial Fibrillation Detection
Yuxi Zhou, Shenda Hong, Junyuan Shang +4
Atrial Fibrillation (AF) is an abnormal heart rhythm which can trigger cardiac arrest and sudden death. Nevertheless, its interpretation is mostly done by medical experts due to hi…