Summary of the project proposal:
Investigate in silico models to generate synthetic ventricular tachycardia (VT) electrograms (EGMs). This model-based data augmentation strategy will be exploited to train an AI-based computer-aided system allowing for a more generalizable and precise targeting of the arrhythmogenic sites in post-ischemic VT sustained by re-entrant circuits.