Clinical Evidence Morphology--Rhythm for ECG (CEMR-ECG): a traceable evidence framework for imbalanced heartbeat classification
The paper introduces CEMR-ECG, a traceable decision-layer framework that integrates rhythm, morphology, and prototype evidence with backbone classifiers to significantly improve macro-averaged F1 scores and address class imbalance in AAMI-style ECG heartbeat classification across multiple datasets.