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

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