Investigation on recurrent high dominant frequency spatiotemporal patterns during persistent atrial fibrillation

Li, X, Chu, GS, Almeida, TP, Vanheusden, FJ ORCID: https://orcid.org/0000-0003-2369-6189, Dastagir, N, Salinet, JL, Stafford, PJ, Ng, GA and Schlindwein, FS, 2015. Investigation on recurrent high dominant frequency spatiotemporal patterns during persistent atrial fibrillation. In: Murray, A, ed., Computing in Cardiology Conference 2015. Computing in Cardiology, 42 . Piscataway, N.J.: IEEE, pp. 61-64. ISBN 9781509006854

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Abstract

Atrial regions hosting dominant frequency (DF) may represent potential drivers of persistent atrial fibrillation (persAF). Previous work showed that DF can exhibit cyclic behaviour. This study aims to better understand the spatiotemporal behaviours of persAF over longer time periods. 10 patients undergoing persAF ablation targeted at DF were included. Left atrial (LA) non-contact virtual electrograms (VEGMs, Ensite Array, St Jude Medical) were collected for up to 5 min pre-/post- ablation. DF was identified as the peak from 4-10 Hz, in 4 s windows (50 % overlap). High DF (HDF) map was created and automated pattern recognition algorithm was applied to look for recurring HDF spatial patterns within each patient. Recurring HDF patterns were found in all patients. Patients who changed rhythm to atrial flutter after ablation demonstrated single dominant pattern (DP) among the recorded time period, which might consistent with the higher level of regularity during flutter. Ablation regularized AF as demonstrated by increased DP recurrence after ablation. The time interval (median [IQR]) of DP recurrence for the patients still in atrial fibrillation(AF) after ablation (7 patients) decreased from 21.1 s [11.8~49.7 s] to 15.7s [6.5~18.2 s]. The proposed method quantifies the spatiotemporal regularity of HDF DPs over long time periods and may offer a more comprehensive dynamic overview of persAF behaviour and the impact of ablation.

Item Type:	Chapter in book
Description:	Paper presented at 2015 Computing in Cardiology Conference (CinC), Nice, France, 6-9 September 2015.
Creators:	Li, X., Chu, G.S., Almeida, T.P., Vanheusden, F.J., Dastagir, N., Salinet, J.L., Stafford, P.J., Ng, G.A. and Schlindwein, F.S.
Publisher:	IEEE
Place of Publication:	Piscataway, N.J.
Date:	September 2015
Volume:	42
ISBN:	9781509006854
ISSN:	2325-887X
Identifiers:	Number Type 10.1109/CIC.2015.7408586 DOI
Rights:	Articles in this volume are copyright © 2015 by their respective authors, and are licensed by their authors under the Creative Commons Attribution License 2.5 (CCAL).
Divisions:	Schools > School of Science and Technology
Record created by:	Jill Tomkinson
Date Added:	12 Dec 2018 17:15
Last Modified:	12 Dec 2018 17:15
URI:	https://irep.ntu.ac.uk/id/eprint/35316

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