[A lightweight classification network for single-lead atrial fibrillation based on depthwise separable convolution and attention mechanism].

Journal: Nan fang yi ke da xue xue bao = Journal of Southern Medical University
PMID: 40159980

Abstract

OBJECTIVES: To design a deep learning model that balances model complexity and performance to enable its integration into wearable ECG monitoring devices for automated diagnosis of atrial fibrillation.

Authors

  • Yong Hong
    College of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Xin Zhang
    First Department of Infectious Diseases, The First Affiliated Hospital of China Medical University, Shenyang, China.
  • Mingjun Lin
    College of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Qiucen Wu
    College of Biomedical Engineering, Southern Medical University, Guangzhou 510515, China.
  • Chaomin Chen
    School of Biomedical Engineering, Southern Medical University, Guangzhou, China.

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