UNet-BiLSTM: A Deep Learning Method for Reconstructing Electrocardiography from Photoplethysmography

• Published in: Electronics (Basel) Vol. 13; no. 10; p. 1869
• Main Authors: Guo, Yanke, Tang, Qunfeng, Chen, Zhencheng, Li, Shiyong
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.05.2024
• Subjects: Accuracy; Algorithms; Blood; Body parts; Cardiovascular diseases; Correlation coefficients; Datasets; Deep learning; Electrocardiogram; Electrocardiography; Electrodes; Medical research; Medicine, Experimental; Methods; Neural networks; Wavelet transforms; Wearable computers
• ISSN: 2079-9292; 2079-9292
• DOI: 10.3390/electronics13101869

Electrocardiography (ECG) is generally used in clinical practice for cardiovascular diagnosis and for monitoring cardiovascular status. It is considered to be the gold standard for diagnosing cardiovascular diseases and assessing cardiovascular status. However, it is not always easy to obtain. Unlik...