CLECG: A Novel Contrastive Learning Framework for Electrocardiogram Arrhythmia Classification
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DOI: 10.1109/lsp.2021.3114119
Abstract: Deep learning-based intelligent electrocardiogram (ECG) diagnosis algorithms heavily rely on large annotated datasets. Unfortunately, in the context of ECG diagnosis, privacy issues and the high cost of data annotations lead to a shortage of ECG… read more here.
Keywords: novel contrastive; clecg novel; ecg diagnosis; contrastive learning ... See more keywords