Key result
A novel non-invasive algorithm based on 64-lead ECGs correctly identified the origin of focal and re-entrant atrial excitation with success rates of 93% and 76%, respectively.
Why the study?
Does a novel 64-lead ECG algorithm accurately identify the origins of atrial re-entry and ectopic foci in a computational model?
Population
Biophysically detailed computational model of the three-dimensional (3D) human atria and torso
Design
Preclinical
Authors
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Promising accuracy in a computational model warrants human validation; leaves open clinical adoption for atrial arrhythmia localization.
Does a novel 64-lead ECG algorithm accurately identify the origins of atrial re-entry and ectopic foci in a computational model?
A novel computational algorithm using 64-lead ECGs successfully identified the origin of atrial focal and re-entrant excitation with high accuracy, offering a potential non-invasive tool for guiding atrial fibrillation ablation.
Alday et al. (2017) studied Atrial tachy-arrhythmias. 64-lead ECG focus-location algorithm was evaluated on Success rate for correctly identifying the origin of focal and re-entrant excitation. A novel non-invasive algorithm based on 64-lead ECGs correctly identified the origin of focal and re-entrant atrial excitation with success rates of 93% and 76%, respectively.
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