Automatic Prediction of Atrial Fibrillation Based on Convolutional Neural Network Using a Short-term Normal Electrocardiogram Signal.

Journal: Journal of Korean medical science
Published Date: Feb 15, 2019

Abstract

BACKGROUND: In this study, we propose a method for automatically predicting atrial fibrillation (AF) based on convolutional neural network (CNN) using a short-term normal electrocardiogram (ECG) signal.

Authors

  • Urtnasan Erdenebayar
    Department of Biomedical Engineering, Yonsei University College of Health Science, Wonju, Korea.
  • Hyeonggon Kim
    CHANGEUI TECH Co., Ltd., Wonju, Korea.
  • Jong-Uk Park
    Department of Biomedical Engineering, Yonsei University, Wonju, Gangwondo, Korea.
  • Dongwon Kang
    Department of Biomedical Engineering, Yonsei University College of Health Science, Wonju, Korea.
  • Kyoung-Joung Lee

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