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

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

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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...

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Bibliographic Details
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: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Computer science and engineering
Hypertension
Deep Neural Network
Online Access:https://hdl.handle.net/10356/170019

Internet

https://hdl.handle.net/10356/170019

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