Machine learning enables noninvasive prediction of atrial fibrillation driver location and acute pulmonary vein ablation success using the 12-lead ECG

BACKGROUND: Atrial fibrillation (AF) is the most common supraventricular arrhythmia, characterized by disorganized atrial electrical activity, maintained by localized arrhythmogenic atrial drivers. Pulmonary vein isolation (PVI) allows to exclude PV-related drivers. However, PVI is less effective in...

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Detalles Bibliográficos
Autores principales: Luongo, Giorgio, Azzolin, Luca, Schuler, Steffen, Rivolta, Massimo W., Almeida, Tiago P., Martínez, Juan P., Soriano, Diogo C., Luik, Armin, Müller-Edenborn, Björn, Jadidi, Amir, Dössel, Olaf, Sassi, Roberto, Laguna, Pablo, Loewe, Axel
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Clinical
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053175/
https://www.ncbi.nlm.nih.gov/pubmed/33899043
http://dx.doi.org/10.1016/j.cvdhj.2021.03.002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8053175/
https://www.ncbi.nlm.nih.gov/pubmed/33899043
http://dx.doi.org/10.1016/j.cvdhj.2021.03.002

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