Non-invasive localization of post-infarct ventricular tachycardia exit sites to guide ablation planning: a computational deep learning platform utilizing the 12-lead electrocardiogram and intracardiac electrograms from implanted devices.
Sofia MonaciShuang QianKarli GilletteEsther Puyol-AntónRahul MukherjeeMark K ElliottJohn WhitakerRonak RajaniMark D O'NeillChristopher Aldo RinaldiNagaiah ChamakuriAndrew P KingMartin J BishopPublished in: Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology (2022)
The proposed framework may be utilized for direct localization of post-infarct VTs from surface ECGs and/or implanted device EGMs, or in conjunction with efficient, patient-specific modelling, enhancing safety and speed of ablation planning.