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TransECG-SSL: Hybrid Self-Supervised Representation Learning for ECG Arrhythmia Classification
Cross-dataset generalisation remains a major challenge for automated electrocardiogram (ECG) arrhythmia classification because of differences in patient populations, acquisition protocols, annotation practices, and class distributions. Learning representations that remain informative across independ
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