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

Journal: Journal of medical Internet research
Published Date: Sep 10, 2021

Abstract

BACKGROUND: When using a smartwatch to obtain electrocardiogram (ECG) signals from multiple leads, the device has to be placed on different parts of the body sequentially. The ECG signals measured from different leads are asynchronous. Artificial intelligence (AI) models for asynchronous ECG signals have barely been explored.

Authors

  • Changho Han
    Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Yongin, Republic of Korea.
  • Youngjae Song
    VUNO Inc, Seoul, Republic of Korea.
  • Hong-Seok Lim
    Department of Cardiology, Ajou University School of Medicine, Suwon, Republic of Korea.
  • Yunwon Tae
    VUNO Inc, Seoul, Republic of Korea.
  • Jong-Hwan Jang
    Department of Biomedical Informatics, Ajou University School of Medicine, Suwon, Korea.
  • Byeong Tak Lee
    VUNO Inc, Seoul, Republic of Korea.
  • Yeha Lee
    VUNO, Seoul, Korea.
  • Woong Bae
    Soombit.ai, Seoul, South Korea.
  • Dukyong Yoon
    Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, Republic of Korea.

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