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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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Principais autores: Abhishek Tiwari, Jaydeep Kishore, Rohit Singh
Format: Artigo
Sprog:Inglês
Udgivet: Nature Portfolio 2026-05-01
Serier:Scientific Reports
Fag:
Detection of cardiac arrhythmias
Deep learning
Class imbalance
Conditional Wasserstein GAN
Data augmentation
Online adgang:https://doi.org/10.1038/s41598-026-51237-z
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