DocumentCode
3747078
Title
Investigation on recurrent high dominant frequency spatiotemporal patterns during persistent atrial fibrillation
Author
Xin Li;Gavin S. Chu;Tiago P. Almeida;Frederique J. Vanheusden;Nawshin Dastagir;Jo?o L. Salinet;Peter J Stafford;G. Andr? Ng;Fernando S. Schlindwein
Author_Institution
Department of Engineering, University of Leicester, UK
fYear
2015
Firstpage
61
Lastpage
64
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.
Keywords
"Spatiotemporal phenomena","Three-dimensional displays","Correlation","Algorithm design and analysis","Computational efficiency","Hospitals","Mathematical model"
Publisher
ieee
Conference_Titel
Computing in Cardiology Conference (CinC), 2015
ISSN
2325-8861
Print_ISBN
978-1-5090-0685-4
Electronic_ISBN
2325-887X
Type
conf
DOI
10.1109/CIC.2015.7408586
Filename
7408586
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