Coronary Artery Disease Detection Based on a Novel Multi-Modal Deep-Coding Method Using ECG and PCG Signals

Coronary artery disease (CAD) is an irreversible and fatal disease. It necessitates timely and precise diagnosis to slow CAD progression. Electrocardiogram (ECG) and phonocardiogram (PCG), conveying abundant disease-related information, are prevalent clinical techniques for early CAD diagnosis. Neve...

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Bibliographic Details
Published in:	Sensors (Basel, Switzerland) Vol. 24; no. 21; p. 6939
Main Authors:	Sun, Chengfa, Liu, Changchun, Wang, Xinpei, Liu, Yuanyuan, Zhao, Shilong
Format:	Journal Article
Language:	English
Published:	Switzerland MDPI AG 01.11.2024 MDPI
Subjects:	Algorithms Analysis CAD Cardiovascular disease Classification Coronary Artery Disease - diagnosis Coronary heart disease Coronary vessels Data compression Deep learning Diseases Electrocardiogram Electrocardiography Electrocardiography - methods feature extraction Female Heart attacks Hospitals Humans Male Medical imaging Methods Middle Aged multi-modal method Neural networks Neural Networks, Computer Phonocardiography - methods recurrence plot Signal Processing, Computer-Assisted Support Vector Machine Support vector machines Vein & artery diseases China deep learning recurrence plot multi-modal method feature extraction CAD
ISSN:	1424-8220, 1424-8220
Online Access:	Get full text
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