Prediction of Atrial Fibrillation Termination by Catheter Ablation using Adaptive Frequency Tracking of Atrial ECG Signals.
Détails
Télécharger: CinC2016_Prediction of Atrial Fibrillation Termination by Catheter Ablation.pdf (174.08 [Ko])
Etat: Public
Version: Final published version
Licence: CC BY 4.0
Etat: Public
Version: Final published version
Licence: CC BY 4.0
ID Serval
serval:BIB_3FFD680EDBD7
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Prediction of Atrial Fibrillation Termination by Catheter Ablation using Adaptive Frequency Tracking of Atrial ECG Signals.
Titre de la conférence
Computing in Cardiology Conference
Organisation
43rd Computing in Cardiology Conference (CinC)
Adresse
Vancouver, CANADA
ISSN
2325-8861
Statut éditorial
Publié
Date de publication
11/2016
Volume
43
Pages
973-976
Langue
anglais
Résumé
Our study aims at determining whether the efficiency of step-wise catheter ablation (step-CA) of persistent atrial fibrillation (pAF) can be tracked using organization indices based on the harmonic components of atrial ECG signals until pAF termination. ECG time series devoid of QRST were recorded at baseline (pre-ablation), after pulmonary vein isolation and at the end of left atrium (LA) ablation. Using adaptive harmonic frequency tracking schemes, two organisation indices characterizing the relationship between the harmonic components of atrial ECG were computed. Patients in whom the pAF termination was achieved during ablation within the LA displayed greater baseline atrial ECG organization that further increased significantly at the end of LA ablation as opposed to patients in whom the pAF did not terminate. Estimation of the level of atrial ECG organization based on adaptive harmonic schemes appears as promising tool for tracking changes in pAF dynamics during CA and prediction of procedural outcome.
Web of science
Open Access
Oui
Création de la notice
25/07/2023 15:17
Dernière modification de la notice
16/12/2023 7:15