电子科技学刊2025，Vol.23Issue(3)：43-55,13.DOI:10.1016/j.jnlest.2025.100316
Automated ECG arrhythmia classification using hybrid CNN-SVM architectures
Automated ECG arrhythmia classification using hybrid CNN-SVM architectures
Amine Ben Slama 1Yessine Amri 2Ahmed Fnaiech 3Hanene Sahli3
作者信息
- 1. Higher Institute of Medical Technologies of Tunis,University of Tunis El Manar,Tunis,1006,Tunisia
- 2. Biochemistry Laboratory,Bechir Hamza Children's Hospital,Tunis,1007,Tunisia||Higher Institute of Applied Studies in Humanity Le Kef,University of Jendouba,Le Kef,7001,Tunisia
- 3. National Higher School of Engineers of Tunis,University of Tunis,Tunis,1008,Tunisia
- 折叠
摘要
关键词
Arrhythmia/Classification/Convolutional neural networks/ECG signals/Support vector machineKey words
Arrhythmia/Classification/Convolutional neural networks/ECG signals/Support vector machine引用本文复制引用
Amine Ben Slama,Yessine Amri,Ahmed Fnaiech,Hanene Sahli..Automated ECG arrhythmia classification using hybrid CNN-SVM architectures[J].电子科技学刊,2025,23(3):43-55,13.
