Automatic detection of cardiac conditions from photos of electrocardiogram captured by smartphones.

Journal: Heart (British Cardiac Society)
Published Date: Aug 14, 2024

Abstract

BACKGROUND: Researchers have developed machine learning-based ECG diagnostic algorithms that match or even surpass cardiologist level of performance. However, most of them cannot be used in real-world, as older generation ECG machines do not permit installation of new algorithms.

Authors

  • Chun-Ka Wong
    Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR.
  • Yuk Ming Lau
    Division of Cardiology, Department of Medicine, University of Hong Kong, Hong Kong, Hong Kong.
  • Hin Wai Lui
    Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Wai Fung Chan
    Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Wing Chun San
    Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Mi Zhou
    The Third Affiliated Hospital, Sun Yat-sen University, Guangzhou, Guangzhou, China.
  • Yangyang Cheng
    Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Duo Huang
    Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Wing Hon Lai
    Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Yee Man Lau
    Cardiology Division, Department of Medicine, School of Clinical Medicine, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong SAR, China.
  • Chung Wah Siu
    Division of Cardiology, Department of Medicine, University of Hong Kong, Hong Kong, Hong Kong cwdsiu@hku.hk.

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