An ECG AF detector combining gated time-frequency fusion with supervised contrastive learning reports accuracy gains over six baselines on AFDB/CPSC2021 and in cross-dataset transfers.
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Robust and Generalizable Atrial Fibrillation Detection from ECG Using Time-Frequency Fusion and Supervised Contrastive Learning
An ECG AF detector combining gated time-frequency fusion with supervised contrastive learning reports accuracy gains over six baselines on AFDB/CPSC2021 and in cross-dataset transfers.