Automated Electrocardiogram Analysis Identifies Novel Predictors of Ventricular Arrhythmias in Brugada Syndrome

Automated Electrocardiogram Analysis Identifies Novel Predictors of Ventricular Arrhythmias in Brugada Syndrome

Background: Patients suffering from Brugada syndrome (BrS) are at an increased risk of life-threatening ventricular arrhythmias. Whilst electrocardiographic (ECG) variables have been used for risk stratification with varying degrees of success, automated measurements have not been tested for their a...

Full description

Bibliographic Details
Main Authors: Gary Tse, Sharen Lee, Andrew Li, Dong Chang, Guangping Li, Jiandong Zhou, Tong Liu, Qingpeng Zhang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-01-01
Series:Frontiers in Cardiovascular Medicine
Subjects:
Brugada syndrome
automated ECG
risk stratification
depolarization
repolarization
Online Access:https://www.frontiersin.org/articles/10.3389/fcvm.2020.618254/full

Similar Items

Similar Items