Physiology-augmented deep representations improve cross-database electrocardiogram beat classification under unseen-domain shift
This study demonstrates that augmenting deep neural network embeddings with physiological descriptors significantly improves cross-database electrocardiogram beat classification performance under unseen domain shifts, offering a robust solution for generalizing models across different institutions and devices without target-domain adaptation.