A High-Precision Machine Learning Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia

A High-Precision Machine Learning Algorithm to Classify Left and Right Outflow Tract Ventricular Tachycardia

IntroductionMultiple algorithms based on 12-lead ECG measurements have been proposed to identify the right ventricular outflow tract (RVOT) and left ventricular outflow tract (LVOT) locations from which ventricular tachycardia (VT) and frequent premature ventricular complex (PVC) originate. However,...

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Bibliographic Details
Main Authors: Jianwei Zheng, Guohua Fu, Islam Abudayyeh, Magdi Yacoub, Anthony Chang, William W. Feaster, Louis Ehwerhemuepha, Hesham El-Askary, Xianfeng Du, Bin He, Mingjun Feng, Yibo Yu, Binhao Wang, Jing Liu, Hai Yao, Huimin Chu, Cyril Rakovski
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-02-01
Series:Frontiers in Physiology
Subjects:
outflow tract ventricular tachycardia
catheter ablation
electrocardiography
classification
artificial intelligence algorithm
Online Access:https://www.frontiersin.org/articles/10.3389/fphys.2021.641066/full

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https://www.frontiersin.org/articles/10.3389/fphys.2021.641066/full

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