PhysioCLR adds physiology-based positive/negative pair selection, heartbeat shuffling, and peak-aware reconstruction to ECG contrastive learning, improving downstream arrhythmia AUROC on Chapman, Georgia, and private ICU data.
Deep convolutional neural network for the automated diagnosis of congestive heart failure using ECG signals,
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Domain Knowledge is Power: Leveraging Physiological Priors for Self Supervised Representation Learning in Electrocardiography
PhysioCLR adds physiology-based positive/negative pair selection, heartbeat shuffling, and peak-aware reconstruction to ECG contrastive learning, improving downstream arrhythmia AUROC on Chapman, Georgia, and private ICU data.