Inter-patient automated arrhythmia classification: A new approach of weight capsule and sequence to sequence combination.

Journal: Computer methods and programs in biomedicine
Published Date: Nov 19, 2021

Abstract

OBJECTIVE: We propose a new capsule network to compensate for the information loss in the deep convolutional networks in previous studies, and to improve the performance of arrhythmia classification.

Authors

  • Xiangkui Li
    West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu 610041, China.
  • Jian Zhang
    College of Pharmacy, Ningxia Medical University, Yinchuan, NingxiaHui Autonomous Region, China.
  • Wei Chen
    Department of Urology, Zigong Fourth People's Hospital, Sichuan, China.
  • Yilong Chen
    West China Biomedical Big Data Center, West China Hospital, Sichuan University, 37 Guoxue Alley, Chengdu 610041, China.
  • Chao Zhang
    School of Information Engineering, Suqian University, Suqian, Jiangsu, China.
  • Wei Xiang
    School of Engineering and Mathematical Sciences, La Trobe University, Melbourne, 3086, Australia.
  • Dong Li
    Department of Cardiovascular Medicine, Lanzhou University Second Hospital, 730030 Lanzhou, Gansu, China.

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