ST-DGCN: A Novel Spatial-Temporal Dynamic Graph Convolutional Network for Cardiovascular Diseases Diagnosis

Recently, Deep Learning (DL) technology has made significant progress in the field of automatic diagnosis of cardiovascular diseases (CVDs) based on electrocardiograms (ECGs). Multi-lead ECG signals are physiological signals obtained through a series of lead systems based on potential differences be...

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Bibliographic Details

Published in:	IEEE Access
Main Authors:	Qi Xu, Yi Xia
Format:	Article
Language:	English
Published:	IEEE 2025-01-01
Subjects:	Dynamic graph convolutional networks (DGCN) electrocardiogram (ECG) cardiovascular disease (CVD) spatial-temporal physiological connections hierarchical centroid graph pooling
Online Access:	https://ieeexplore.ieee.org/document/11146785/