ECG-GraphNet: Advanced arrhythmia classification based on graph convolutional networks

Background: Deep learning has significantly improved medical diagnostics, particularly in electrocardiogram (ECG) analysis, yet accurate classification of arrhythmias remains challenging. Objective: We propose Electrocardiogram Graph Convolutional Network (ECG-GraphNet), a graph convolutional networ...

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Bibliographic Details

Published in:	Heart Rhythm O2
Main Authors:	Myeonghun Lee, BS, Jiwoo Lim, MS, JinKook Kim, MS
Format:	Article
Language:	English
Published:	Elsevier 2025-08-01
Subjects:	Electrocardiogram Cardiovascular disease Arrhythmia Machine learning Deep learning Graph convolutional network
Online Access:	http://www.sciencedirect.com/science/article/pii/S266650182500162X