A lightweight and robust parallel CNN–LSTM network with random crop augmentation for single-lead raw ECG arrhythmia classification
Cardiovascular diseases remain one of the leading causes of mortality worldwide, creating a strong need for continuous and reliable electrocardiogram (ECG) monitoring systems. Although recent deep learning methods have achieved high arrhythmia classification accuracy, many of them are computationall...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Elsevier
2026-07-01
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| Col·lecció: | Engineering Science and Technology, an International Journal |
| Matèries: | |
| Accés en línia: | http://www.sciencedirect.com/science/article/pii/S2215098626001436 |
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