TS-ECG: A Deep Learning Approach for Classification Paroxysmal Atrial Fibrillation During Normal Sinus Rhythm

被引：0
|
作者：
Kim, Myoungsoo [1 ,2 ]
Baek, Yong-Soo [2 ,3 ,4 ,5 ]
Lee, Sang-Chul [1 ,2 ]
Kim, Dae-Hyeok [2 ,4 ,5 ]
Kwon, Soonil [6 ]
Lee, So-Ryung [6 ]
Choi, Eue-Keun [6 ]
Yong Shin, Seung [7 ,8 ]
Choi, Wonik [1 ,2 ]
机构：
[1] Department of Electrical and Computer Engineering, Inha University, Incheon,22212, Korea, Republic of
[2] DeepCardio Company Ltd., Yeonsu-gu, Incheon,21984, Korea, Republic of
[3] School of Computer Science, University of Birmingham, Birmingham,B15 2TT, United Kingdom
[4] Division of Cardiology, Department of Internal Medicine, Inha University College of Medicine, Junggu, Incheon,22332, Korea, Republic of
[5] Inha University Hospital, Junggu, Incheon,22332, Korea, Republic of
[6] Department of Cardiology, Seoul National University Hospital, Seoul,03080, Korea, Republic of
[7] Korea University Ansan Hospital, Korea University, Seoul,02841, Korea, Republic of
[8] Graduate School of Convergence and Innovation in Technology and Engineering (CITE), POSTECH, Pohang,37673, Korea, Republic of
来源：
IEEE Access | 2024年 / 12卷
关键词：
D O I：
10.1109/ACCESS.2024.3502629
中图分类号：
学科分类号：
摘要：
37
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页码：186035 / 186046
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