[An arrhythmia classification method based on deep learning parallel network model].

Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University
Published Date: Aug 31, 2021

Abstract

OBJECTIVE: We propose a parallel neural network classification method to improve the performance of classification of 4 types of arrhythmias: normal beat, supraventricular ectopic beat, ventricular ectopic beat and fused beat.

Authors

  • Y Gan
    School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • J Shi
    School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.
  • L Gao
    Beijing University of Chinese Medicine, Beijing, 100029, China. gaol@bucm.edu.cn.
  • W He
    School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China.

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