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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| Автори: | , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
KeAi Communications Co., Ltd.
2025-09-01
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| Серія: | Journal of Electronic Science and Technology |
| Предмети: | |
| Онлайн доступ: | http://www.sciencedirect.com/science/article/pii/S1674862X25000175 |
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