Validation of a Novel Imageless Non-Invasive Electrocardiographic Imaging for the Characterization of Atrial Tachycardias

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Abstract

Electrocardiographic Imaging (ECGI) has attracted widespread clinical interest for the diagnosis and treatment of regular atrial tachycardias. However current ECGI systems require a patient-specific cardiac geometry obtained from computed tomography (CT) scans and its clinical adoption is notoriously difficult. We present a novel imageless ECGI system that does not require CT scans for the reconstruction of cardiac epicardial potentials. Computational models and clinical data from regular atrial tachycardias were used to evaluate how this novel ECGI system can characterize atrial arrhythmogenic circuits and determine the potential target of ablation. Clinical results were compared against endocavitary high-density electroanatomical mapping (EAM) showing a high agreement between both technologies.

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Reventos-Presmanes, J., Invers-Rubio, E., Ferro, E., Hernandez-Romero, I., Herrero-Martin, C., Milagro, J., … Climent, A. M. (2022). Validation of a Novel Imageless Non-Invasive Electrocardiographic Imaging for the Characterization of Atrial Tachycardias. In Computing in Cardiology (Vol. 2022-September). IEEE Computer Society. https://doi.org/10.22489/CinC.2022.205

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