Automated Assessment to Predict Lethal Arrhythmias in Brugada Syndrome: Significance of R' in Lead III

Automated Assessment to Predict Lethal Arrhythmias in Brugada Syndrome: Significance of R' in Lead III

ABSTRACT Background Previous investigations of predictors of sudden cardiac arrest (SCA) in Brugada syndrome (BrS) have been conducted using manual electrocardiogram (ECG) measurement, which lacks objectivity. This study aimed to examine predictive factors for SCA in BrS using automated ECG measurem...

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Bibliographic Details
Main Authors: Daiki Shako, Satoshi Nagase, Naoya Kataoka, Toshihiro Nakamura, Satoshi Oka, Yuichiro Miyazaki, Akinori Wakamiya, Kenzaburo Nakajima, Nobuhiko Ueda, Tsukasa Kamakura, Mitsuru Wada, Kohei Ishibashi, Yuko Inoue, Koji Miyamoto, Takeshi Aiba, Kengo Kusano
Format: Article
Language:English
Published: Wiley 2025-08-01
Series:Journal of Arrhythmia
Subjects:
Brugada syndrome
electrocardiogram
epicardial mapping
fragmentation
sudden cardiac arrest
ventricular fibrillation
Online Access:https://doi.org/10.1002/joa3.70166
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