Deep learning for atrial electrogram estimation: toward non-invasive arrhythmia mapping using variational autoencoders
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Background: Non-invasive estimation of intracardiac electrograms (EGMs) from body surface potential measurements (BSPMs) could reduce reliance on invasive mapping and enable safer, patient-specific characterization of atrial arrh... ...
