Minority class–aware multiclass arrhythmia detection using conditional GAN augmentation
Abstract The detection of cardiac arrhythmias from electrocardiogram (ECG) signals is essential for preventing sudden cardiac deaths. However, model performance on minority classes, such as supraventricular (S) and fusion (F) beats, which make up less than 3% of samples, is severely hampered by seve...
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| Autors principals: | , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2026-05-01
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| Col·lecció: | Scientific Reports |
| Matèries: | |
| Accés en línia: | https://doi.org/10.1038/s41598-026-51237-z |
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