AINeutralarXiv – CS AI · 7h ago6/10
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Learning Cardiac Latent Representations in Vectorcardiogram Space
Researchers introduce LVCG, a self-supervised learning framework that represents cardiac electrical activity in vectorcardiogram (VCG) space rather than traditional ECG signal space. By learning unified latent representations instead of lead-specific artifacts, the method reduces redundancy, minimizes spurious correlations, and demonstrates improved generalization across cardiac assessment tasks.