Automated inter-patient arrhythmia classification with dual attention neural network.

Journal: Computer methods and programs in biomedicine
Published Date: Apr 20, 2023

Abstract

BACKGROUND AND OBJECTIVES: Arrhythmia classification based on electrocardiograms (ECG) can enhance clinical diagnostic efficiency. However, due to the significant differences in the number of different categories of heartbeats, the performance of classes with fewer samples in arrhythmia classification have not met expectations under the inter-patient paradigm. This paper aims to mitigate the adverse effects of category imbalance and improve arrhythmia classification performance.

Authors

  • He Lyu
    Key Laboratory of Electronic and Information Engineering, State Ethnic Affairs Commission (Southwest Minzu University). Chengdu, China.
  • 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.
  • Chenchen Zhou
    Key Laboratory of Electronic and Information Engineering, State Ethnic Affairs Commission (Southwest Minzu University). Chengdu, China.
  • Xuezhi Tang
    Key Laboratory of Electronic and Information Engineering, State Ethnic Affairs Commission (Southwest Minzu University). Chengdu, China.
  • Fanxin Xu
    Key Laboratory of Electronic and Information Engineering, State Ethnic Affairs Commission (Southwest Minzu University). Chengdu, China.
  • Ye Yang
    Department of Rehabilitation Medicine, Guilin People's Hospital, Guilin, Guangxi Zhuang Autonomous Region, China.
  • Qinzhen Huang
    Key Laboratory of Electronic and Information Engineering, State Ethnic Affairs Commission (Southwest Minzu University). Chengdu, China. Electronic address: 21500004@swun.edu.cn.
  • 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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