@inproceedings{91abd15e0d504d9fa2ea719f03539fe5,
title = "Stationary and Recurrent Properties of Atrial Fibrillation Conduction Patterns in Goat",
abstract = "Introduction. Electrical mapping of the atria is used to assess the substrate of atrial fibrillation (AF). Targeted ablation of the AF substrate assumes spatiotemporal stationarity. In this study we analyzed long AF recordings of AF using high-density contact mapping.Methods. In 12 goats with stable AF 10 successive 60s files were recorded, within a single AF episode. AF cycle length, fractionation index (FI), lateral dissociation, conduction velocity, breakthroughs and preferentiality of conduction (Prefi were assessed to construct AF-property maps. The Pearson correlation coefficient (PCC) between AF-property maps of consecutive recordings was calculated. Recurrence plots and recurrence quantification analysis were used to identify recurrent patterns.Results Spatiotemporal stationarity for the 6 properties were high, PCC ranged from 0.66 +/- 0.11 for Pref to 0.98 +/- 0.01 for FI. The PCC is not affected by the time delay between files. Yet, highly dynamic patterns were found. Recurrence plots revealed few (1.6 +/- 0.7) recurrent patterns in individual animals.Conclusions AF properties were stationary in stable AF. This cannot be attributed to stable recurrent conduction patterns. during This suggests that spatial properties of the atrium determine AF properties.",
keywords = "CATHETER ABLATION, ELECTROGRAMS, PERSISTENT",
author = "{van Hunnik}, A. and S. Zeemering and P. Podziemski and J. Simons and G. Gatta and B. Maesen and M. Kuiper and S. Verheule and U. Schotten",
year = "2018",
doi = "10.22489/CinC.2018.291",
language = "English",
isbn = "9781728109589",
volume = "45",
series = "Computing in Cardiology Conference",
publisher = "IEEE",
booktitle = "2018 COMPUTING IN CARDIOLOGY CONFERENCE (CINC)",
address = "United States",
note = "45th Computing in Cardiology Conference (CinC) ; Conference date: 23-09-2018 Through 26-09-2018",
}