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Learning Cardiac Latent Representations in Vectorcardiogram Space

arXiv:2605.31249v1 Announce Type: new Abstract: Electrocardiography (ECG) is a cornerstone of cardiac assessment, making the learning of informative ECG representations fundamental to tasks ranging from disease diagnosis to clinical report generation. However, existing methods operate almost exclusively in the observable ECG signal space. In practice, the standard twelve-lead ECG represents multiple projections of the same underlying cardiac electrical activity from different spatial...

arXiv CS 9d ago