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...

وصف كامل

التفاصيل البيبلوغرافية
الحاوية / القاعدة:	Heart Rhythm O2
المؤلفون الرئيسيون:	Myeonghun Lee, BS, Jiwoo Lim, MS, JinKook Kim, MS
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	Elsevier 2025-08-01
الموضوعات:	Electrocardiogram Cardiovascular disease Arrhythmia Machine learning Deep learning Graph convolutional network
الوصول للمادة أونلاين:	http://www.sciencedirect.com/science/article/pii/S266650182500162X

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