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 time series repre- sentation learning via cross reconstruction transformer.IEEE Transactions on Neural Networks and Learning Systems, 35(11):16129–16138, 2024
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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.