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...

ver descrição completa

Na minha lista:
Detalhes bibliográficos
Publicado no:Cardiovasc Digit Health J
Main Authors: 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: Artigo
Idioma:Inglês
Publicado em: Elsevier 2021
Assuntos:
Clinical
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8053175/
https://ncbi.nlm.nih.gov/pubmed/33899043
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1016/j.cvdhj.2021.03.002
Tags: Adicionar Tag
Sem tags, seja o primeiro a adicionar uma tag!

Registos relacionados