A review of arrhythmia detection based on electrocardiogram with artificial intelligence.

Journal: Expert review of medical devices
Published Date: Aug 25, 2022

Abstract

INTRODUCTION: With the widespread availability of portable electrocardiogram (ECG) devices, there will be a surge in ECG diagnoses. Traditional computer-aided diagnosis of arrhythmia mainly relies on the rules of medical knowledge, which are insufficient due to the limitations of data quality and human expert knowledge. The research of arrhythmia detection methods based on artificial intelligence (AI) techniques can assist physicians in high-precision arrhythmia diagnosis. AI algorithms can also be embedded in smart ECG devices to help more people perform early screening for arrhythmia.

Authors

  • Jinlei Liu
    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Zhiyuan Li
    School of Clinical Medicine, General Hospital of Ningxia Medical University, Yinchuan, China.
  • Yanrui Jin
    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Yunqing Liu
    School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai, China.
  • Chengliang Liu
    School of Mechanical Engineering, Shanghai Jiao Tong University, 800 Dongchuan Road, Shanghai 200240, PR China. Electronic address: chlliu@sjtu.edu.cn.
  • Liqun Zhao
    Department of Cardiology, Shanghai First People's Hospital Affiliated to Shanghai Jiao Tong University, 100, Haining Road, Shanghai 200080, PR China.
  • Xiaojun Chen
    Department of Gynecology, Obstetrics and Gynecology Hospital of Fudan University, Shanghai, China.

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