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Automated ECG arrhythmia classification using hybrid CNN-SVM architectures

Diagnosing cardiac diseases relies heavily on electrocardiogram (ECG) analysis, but detecting myocardial infarction-related arrhythmias remains challenging due to irregular heartbeats and signal variations. Despite advancements in machine learning, achieving both high accuracy and low computational...

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Principais autores: Amine Ben Slama, Yessine Amri, Ahmed Fnaiech, Hanene Sahli
פורמט: Artigo
שפה:Inglês
יצא לאור: KeAi Communications Co., Ltd. 2025-09-01
סדרה:Journal of Electronic Science and Technology
נושאים:
Arrhythmia
Classification
Convolutional neural networks
ECG signals
Support vector machine
גישה מקוונת:http://www.sciencedirect.com/science/article/pii/S1674862X25000175
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