Feasibility and validity of using deep learning to reconstruct 12-lead ECG from three‑lead signals.

Journal: Journal of electrocardiology
Published Date: Mar 8, 2024

Abstract

BACKGROUND: In the field of mobile health, portable dynamic electrocardiogram (ECG) monitoring devices often have a limited number of lead electrodes due to considerations, such as portability and battery life. This situation leads to a contradiction between the demand for standard 12‑lead ECG information and the limited number of leads collected by portable devices.

Authors

  • Liang-Hung Wang
    Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China.
  • Yu-Yi Zou
    Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, China.
  • Chao-Xin Xie
    Department of Microelectronics, College of Physics and Information Engineering, Fuzhou University, China.
  • Tao Yang
    The First Clinical Medical College, The Affiliated People's Hospital of Fujian University of Traditional Chinese Medicine, Fuzhou, Fujian, China.
  • Patricia Angela R Abu
    Department of Information Systems and Computer Science, Ateneo de Manila University, Quezon 1108, Philippines.

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