A High-Precision Deep Learning Algorithm to Localize Idiopathic Ventricular Arrhythmias

Background: An accurate prediction of ventricular arrhythmia (VA) origins can optimize the strategy of ablation, and facilitate the procedure. Objective: This study aimed to develop a machine learning model from surface ECG to predict VA origins. Methods: We obtained 3628 waves of ventricular premat...

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Detalles Bibliográficos
Autores principales: Chang, Ting-Yung, Chen, Ke-Wei, Liu, Chih-Min, Chang, Shih-Lin, Lin, Yenn-Jiang, Lo, Li-Wei, Hu, Yu-Feng, Chung, Fa-Po, Lin, Chin-Yu, Kuo, Ling, Chen, Shih-Ann
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145898/
https://www.ncbi.nlm.nih.gov/pubmed/35629186
http://dx.doi.org/10.3390/jpm12050764

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9145898/
https://www.ncbi.nlm.nih.gov/pubmed/35629186
http://dx.doi.org/10.3390/jpm12050764

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