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

Frontiers in Cardiovascular Medicine

Andrew Li¹  Sharen Lee²  Qingpeng Zhang³  Jiandong Zhou³  Tong Liu⁴  Guangping Li⁴  Gary Tse⁴  Dong Chang⁵ 

[1] Faculty of Science, University of Calgary, Calgary, AB, Canada;Laboratory of Cardiovascular Physiology, Faculty of Medicine, Li Ka Shing Institute of Health Sciences, The Chinese University of Hong Kong, Hong Kong, China;School of Data Science, City University of Hong Kong, Hong Kong, China;Tianjin Key Laboratory of Ionic-Molecular Function of Cardiovascular Disease, Department of Cardiology, Tianjin Institute of Cardiology, Second Hospital of Tianjin Medical University, Tianjin, China;Xiamen Cardiovascular Hospital, Xiamen University, Xiamen, China;

关键词: Brugada syndrome;    automated ECG;    risk stratification;    depolarization;    repolarization;   

DOI  :  10.3389/fcvm.2020.618254

来源: Frontiers

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