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Dominant Frequency Variability Mapping for Identifying Stable Drivers during Persistent Atrial Fibrillation using Non‐Contact Mapping

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conference contribution
posted on 2019-06-10, 15:26 authored by X Li, GS Chu, TP Almeida, J Salinet, AR Mistry, Z Vali, PJ Stafford, FS Schlindwein, GA Ng
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.

Funding

This work was supported by the NIHR Leicester Biomedical Research Centre. XL was funded by Medical Research Council, UK. TPA received research grants from CAPES and FAPESP (n. 2017/00319-8).

History

Citation

Computing in Cardiology 2018; Vol 45

Author affiliation

/Organisation/COLLEGE OF LIFE SCIENCES/School of Medicine/Department of Cardiovascular Sciences

Source

Computing in Cardiology 2018

Version

  • VoR (Version of Record)

Published in

Computing in Cardiology 2018; Vol 45

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

issn

2325-887X

Acceptance date

2018-07-02

Copyright date

2018

Available date

2019-06-10

Publisher version

http://www.cinc.org/archives/2018/pdf/CinC2018-138.pdf

Language

en

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