Classification of underlying paroxysmal supraventricular tachycardia types using deep learning of sinus rhythm electrocardiograms
Background Obtaining tachycardia electrocardiograms (ECGs) in patients with paroxysmal supraventricular tachycardia (PSVT) is often challenging. Sinus rhythm ECGs are of limited predictive value for PSVT types in patients without preexcitation. This study aimed to explore the classification of atrio...
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| Główni autorzy: | , , , , , , , , , |
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| Format: | Artigo |
| Język: | Inglês |
| Wydane: |
SAGE Publishing
2024-09-01
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| Seria: | Digital Health |
| Dostęp online: | https://doi.org/10.1177/20552076241281200 |
| Etykiety: |
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