Opportunities and challenges in deep learning methods on Electrocardiogram data: A systematic review

被引：0
|
作者：
Hong, Shenda [1 ]
Zhou, Yuxi [2 ,3 ]
Shang, Junyuan [2 ,3 ]
Xiao, Cao [4 ]
Sun, Jimeng [5 ]
机构：
[1] Department of Computational Science and Engineering, Georgia Institute of Technology, Atlanta, United States
[2] School of Electronics Engineering and Computer Science, Peking University, Beijing, China
[3] Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing, China
[4] Analytics Center of Excellence, IQVIA, Cambridge, United States
[5] Department of Computer Science, University of Illinois at Urbana-Champaign, Urbana, United States
来源：
arXiv | 2019年
关键词：
A systematic review - Deep learning - Deep neural network(s) - Diagnostics tools - Electrocardiogram (electrocardiogram/EKG) - Electrocardiogram signal - Google scholar - Learning methods - Neural network model - Systematic Review;
D O I：
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学科分类号：
摘要：
227
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