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

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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Bibliographic Details
Main Authors: Ting-Yung Chang, Ke-Wei Chen, Chih-Min Liu, Shih-Lin Chang, Yenn-Jiang Lin, Li-Wei Lo, Yu-Feng Hu, Fa-Po Chung, Chin-Yu Lin, Ling Kuo, Shih-Ann Chen
Format: Article
Language:English
Published: MDPI AG 2022-05-01
Series:Journal of Personalized Medicine
Subjects:
machine learning
ventricular arrhythmia
localization
catheter ablation
Online Access:https://www.mdpi.com/2075-4426/12/5/764

Internet

https://www.mdpi.com/2075-4426/12/5/764

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