[en] This study examines the value of ventricular repolarization using QT dynamicity for two different types of atrial fibrillation (AF) prediction.
Disciplines :
Cardiovascular & respiratory systems
Author, co-author :
Grégoire, Jean-Marie ; IRIDIA, Université Libre de Bruxelles, Av. Adolphe Buyl 87, 1050 Bruxelles, Belgium ; Cardiology Department, Université de Mons, Place du Parc 20, 7000 Mons, Belgium
Gilon, Cédric ; IRIDIA, Université Libre de Bruxelles, Av. Adolphe Buyl 87, 1050 Bruxelles, Belgium
Vaneberg, Nathan; IRIDIA, Université Libre de Bruxelles, Av. Adolphe Buyl 87, 1050 Bruxelles, Belgium
Bersini, Hugues; IRIDIA, Université Libre de Bruxelles, Av. Adolphe Buyl 87, 1050 Bruxelles, Belgium
CARLIER, Stéphane ; Université de Mons - UMONS > Faculté de Médecine et de Pharmacie > Service de Cardiologie
Language :
English
Title :
Machine learning-based atrial fibrillation detection and onset prediction using QT-dynamicity.
Publication date :
01 July 2024
Journal title :
Physiological Measurement
ISSN :
0967-3334
Publisher :
IOP Publishing, England
Volume :
45
Issue :
7
Pages :
075001
Peer reviewed :
Peer Reviewed verified by ORBi
Research unit :
M106 - Cardiologie
Research institute :
R550 - Institut des Sciences et Technologies de la Santé
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