A 3D-CNN with temporal-attention block to predict the recurrence of atrial fibrillation based on body-surface potential mapping signals

Catheter ablation has become an important treatment for atrial fibrillation (AF), but its recurrence rate is still high. The aim of this study was to predict AF recurrence using a three-dimensional (3D) network model based on body-surface potential mapping signals (BSPMs). BSPMs were recorded with a...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhong, Gaoyan, Feng, Xujian, Yuan, Han, Yang, Cuiwei
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/PMC9679420/
https://www.ncbi.nlm.nih.gov/pubmed/36425294
http://dx.doi.org/10.3389/fphys.2022.1030307

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9679420/
https://www.ncbi.nlm.nih.gov/pubmed/36425294
http://dx.doi.org/10.3389/fphys.2022.1030307

Ejemplares similares