Subject-Independent Model for Reconstructing Electrocardiography Signals from Photoplethysmography Signals

• Published in: Applied sciences Vol. 14; no. 13; p. 5773
• Main Authors: Guo, Yanke, Li, Shiyong, Chen, Zhencheng, Tang, Qunfeng
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.07.2024
• Subjects: bidirectional long short-term memory; Blood pressure; convolutional neural networks; Datasets; Deep learning; Dictionaries; electrocardiogram reconstruction; Electrocardiography; Heart rate; Neural networks; photoplethysmography; Skin; Wavelet transforms; Wearable computers
• ISSN: 2076-3417; 2076-3417
• DOI: 10.3390/app14135773

Electrocardiography (ECG) is the gold standard for monitoring vital signs and for diagnosing, controlling, and preventing cardiovascular diseases (CVDs). However, ECG requires continuous user participation, and cannot be used for continuous cardiac monitoring. In contrast to ECG, photoplethysmograph...