Opportunities and challenges of deep learning methods for electrocardiogram data: A systematic review.

Journal: Computers in biology and medicine
Published Date: Jun 7, 2020

Abstract

BACKGROUND: The electrocardiogram (ECG) is one of the most commonly used diagnostic tools in medicine and healthcare. Deep learning methods have achieved promising results on predictive healthcare tasks using ECG signals.

Authors

  • Shenda Hong
    National Institute of Health Data Science at Peking University, Peking University, 100871 Beijing, China.
  • Yuxi Zhou
  • Junyuan Shang
  • Cao Xiao
    University of Washington, Department of Industrial and Systems Engineering, Seattle, USA.
  • Jimeng Sun
    College of Computing Georgia Institute of Technology Atlanta, GA, USA.

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