MERIT applies information theory to ECG representation learning via masked modeling and ECG-text contrastive alignment, reporting F1 gains over 3% on PTB-XL All and 5% on SubClass plus zero-shot and text generation improvements.
Self-supervised ecg representation learning for emotion recognition.IEEE Transactions on Affective Computing, 13(3):1541–1554, 2022
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Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals
MERIT applies information theory to ECG representation learning via masked modeling and ECG-text contrastive alignment, reporting F1 gains over 3% on PTB-XL All and 5% on SubClass plus zero-shot and text generation improvements.