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

AIMS: Existing strategies that identify post-infarct ventricular tachycardia (VT) ablation target either employ invasive electrophysiological (EP) mapping or non-invasive modalities utilizing the electrocardiogram (ECG). Their success relies on localizing sites critical to the maintenance of the cli...

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Detalles Bibliográficos
Autores principales: Monaci, Sofia, Qian, Shuang, Gillette, Karli, Puyol-Antón, Esther, Mukherjee, Rahul, Elliott, Mark K, Whitaker, John, Rajani, Ronak, O’Neill, Mark, Rinaldi, Christopher A, Plank, Gernot, King, Andrew P, Bishop, Martin J
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2022
Materias:
Clinical Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935046/
https://www.ncbi.nlm.nih.gov/pubmed/36369980
http://dx.doi.org/10.1093/europace/euac178

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9935046/
https://www.ncbi.nlm.nih.gov/pubmed/36369980
http://dx.doi.org/10.1093/europace/euac178

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