CoRe-ECG unifies contrastive and reconstructive self-supervised learning for ECG with frequency-based augmentation and lead-aware masking to achieve state-of-the-art performance on downstream ECG tasks.
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CoRe-ECG: Advancing Self-Supervised Representation Learning for 12-Lead ECG via Contrastive and Reconstructive Synergy
CoRe-ECG unifies contrastive and reconstructive self-supervised learning for ECG with frequency-based augmentation and lead-aware masking to achieve state-of-the-art performance on downstream ECG tasks.