Feasibility and Validity of Using Deep Learning to Reconstruct 12-Lead ECG from Three‑Lead Signals

• Main Authors: Wang, Liang Hung, Zou, Yu Yi, Xie, Chao Xin, Yang, Tao, Abu, Patricia Angela R
• Format: text
• Published: Archīum Ateneo 2024
• Subjects: Bidirectional long short-term memory network; Convolutional neural network; Heartbeat segmentation; Lead reconstruction; Biomedical; Computer Sciences; Electrical and Computer Engineering; Engineering; Physical Sciences and Mathematics
• Online Access: https://archium.ateneo.edu/discs-faculty-pubs/408; https://doi.org/10.1016/j.jelectrocard.2024.03.004
• Institution: Ateneo De Manila University

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 inform...