AI RESEARCH
Learning ECG Image Representations via Dual Physiological-Aware Alignments
arXiv CS.LG
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ArXi:2604.01526v1 Announce Type: new Electrocardiograms (ECGs) are among the most widely used diagnostic tools for cardiovascular diseases, and a large amount of ECG data worldwide appears only in image form. However, most existing automated ECG analysis methods rely on access to raw signal recordings, limiting their applicability in real-world and resource-constrained settings.