Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/44332
Title: Dominant Frequency Variability Mapping for Identifying Stable Drivers during Persistent Atrial Fibrillation using Non‐Contact Mapping
Authors: Li, X
Chu, GS
Almeida, TP
Salinet, J
Mistry, AR
Vali, Z
Stafford, PJ
Schlindwein, FS
Ng, GA
First Published: 23-Sep-2018
Presented at: Computing in Cardiology 2018
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Citation: Computing in Cardiology 2018; Vol 45
Abstract: Catheter ablation is a widely-used therapy to treat atrial fibrillation (AF), but the identification of ablation targets remain challenging in persistent AF (persAF). Dominant frequency (DF) mapping has been shown to be spatiotemporally unstable in persAF, with DF variability (DFV) correlating with the spectral organisation index (OI). This study aims to assess DFV at ablation sites between patients with AF termination and non-termination. 10 persAF patients undergoing LA ablation were enrolled. AF was terminated in 4 patients after ablating highest DFs. 2048-channel virtual electrograms (Ensite Array) were analysed in Matlab. DFV index (DFVI) was proposed to quantify DF temporal stability. Mock ablation targets were identified based on DFVI and the percentage of region actually ablated was computed. Ablation sites in termination patients revealed higher OI and lower DFVI. In the termination group, a greater proportion of DFVI was ablated. Atrial regions with higher temporal stability and organisation may offer more precise locations of stable focal drivers and may lead to higher success in AF termination following ablation.
DOI Link: 10.22489/CinC.2018.138
ISSN: 2325-887X
Links: http://www.cinc.org/archives/2018/pdf/CinC2018-138.pdf
http://hdl.handle.net/2381/44332
Version: Publisher Version
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © the authors, 2018. This is an open-access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Appears in Collections:Conference Papers & Presentations, Dept. of Cardiovascular Sciences

Files in This Item:
File Description SizeFormat 
CinC2018-138.pdfPublished (publisher PDF)5.49 MBAdobe PDFView/Open


Items in LRA are protected by copyright, with all rights reserved, unless otherwise indicated.