Diagnosis of atrial fibrillation based on AI-detected anomalies of ECG segments
Early detection of atrial fibrillation (AF) is crucial for its effective management and prevention. Various methods for detecting AF using deep learning (DL) based on supervised learning with a large labeled dataset have a remarkable performance. However, supervised learning has several problems, as...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2024-01-01
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| Collection: | Heliyon |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S240584402310805X |
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