Interpretable hybrid model for an automated patient-wise categorization of hypertensive and normotensive electrocardiogram signals

• Main Authors: Chen, Chen, Zhao, Hai Yan, Zheng, Shou Huan, Ramachandra, Reshma A., He, Xiaonan, Zhang, Yin Hua, Sudarshan, Vidya K.
• Other Authors: School of Computer Science and Engineering
• Format: Article
• Language: English
• Published: 2023
• Subjects: Engineering::Computer science and engineering; Hypertension; Deep Neural Network
• Online Access: https://hdl.handle.net/10356/170019
• Institution: Nanyang Technological University

Background and Objective: Hypertension is critical risk factor of fatal cardiovascular diseases and multiple organ damage. Early detection of hypertension even at pre-hypertension stage is helpful in preventing the forthcoming complications. Electrocardiogram (ECG) has been attempted to observe the...