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

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, Hai Yan Zhao, Shou Huan Zheng, Reshma A Ramachandra, Xiaonan He, Yin Hua Zhang, Vidya K Sudarshan
Format:	Article
Language:	English
Published:	Elsevier 2023-01-01
Series:	Computer Methods and Programs in Biomedicine Update
Subjects:	Hypertension Deep neural network Convolutional neural network Support vector machine LIME Interpretable AI
Online Access:	http://www.sciencedirect.com/science/article/pii/S266699002300006X

Interpretable hybrid model for an automated patient-wise categorization of hypertensive and normotensive electrocardiogram signals by Chen, Chen, Zhao, Hai Yan, Zheng, Shou Huan, Ramachandra, Reshma A., He, Xiaonan, Zhang, Yin Hua, Sudarshan, Vidya K.

Published 2023

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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 by Chen, Chen, Zhao, Hai Yan, Zheng, Shou Huan, Ramachandra, Reshma A., He, Xiaonan, Zhang, Yin Hua, Sudarshan, Vidya K.

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