Published on in Vol 23, No 9 (2021): September

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31129, first published .
Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Automated Detection of Acute Myocardial Infarction Using Asynchronous Electrocardiogram Signals—Preview of Implementing Artificial Intelligence With Multichannel Electrocardiographs Obtained From Smartwatches: Retrospective Study

Changho Han 1*, MD, MSc;  Youngjae Song 2*, PhD;  Hong-Seok Lim 3*, MD, PhD;  Yunwon Tae 2, MSc;  Jong-Hwan Jang 1, PhD;  Byeong Tak Lee 2, MSc;  Yeha Lee 2, PhD;  Woong Bae 2, MSc;  Dukyong Yoon 1, 4, MD, PhD

1 Department of Biomedical Systems Informatics, Yonsei University College of Medicine , Yongin , KR

2 VUNO Inc , Seoul , KR

3 Department of Cardiology, Ajou University School of Medicine , Suwon , KR

4 Center for Digital Health, Yongin Severance Hospital, Yonsei University Health System, Yongin , KR

*these authors contributed equally

Corresponding Author:

  • Dukyong Yoon, MD, PhD
  • Department of Biomedical Systems Informatics
  • Yonsei University College of Medicine
  • 363, Dongbaekjukjeon-daero, Giheung-gu
  • Yongin
  • KR
  • Phone: 82 3151898450
  • Email: dukyong.yoon@yonsei.ac.kr