Training machine learning models with synthetic data improves the prediction of ventricular origin in outflow tract ventricular arrhythmias

In order to determine the site of origin (SOO) in outflow tract ventricular arrhythmias (OTVAs) before an ablation procedure, several algorithms based on manual identification of electrocardiogram (ECG) features, have been developed. However, the reported accuracy decreases when tested with differen...

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Detalles Bibliográficos
Autores principales: Doste, Ruben, Lozano, Miguel, Jimenez-Perez, Guillermo, Mont, Lluis, Berruezo, Antonio, Penela, Diego, Camara, Oscar, Sebastian, Rafael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Physiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412034/
https://www.ncbi.nlm.nih.gov/pubmed/36035489
http://dx.doi.org/10.3389/fphys.2022.909372

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412034/
https://www.ncbi.nlm.nih.gov/pubmed/36035489
http://dx.doi.org/10.3389/fphys.2022.909372

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