2024
DOI: 10.3390/bioengineering11040365
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Reconstruction of Missing Electrocardiography Signals from Photoplethysmography Data Using Deep Neural Network

Yanke Guo,
Qunfeng Tang,
Shiyong Li
et al.

Abstract: ECG helps in diagnosing heart disease by recording heart activity. During long-term measurements, data loss occurs due to sensor detachment. Therefore, research into the reconstruction of missing ECG data is essential. However, ECG requires user participation and cannot be used for continuous heart monitoring. Continuous monitoring of PPG signals is conversely low-cost and easy to carry out. In this study, a deep neural network model is proposed for the reconstruction of missing ECG signals using PPG data. Thi… Show more

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