Please use this identifier to cite or link to this item: http://hdl.handle.net/2381/37000
Title: Three-dimensional dominant frequency mapping using autoregressive spectral analysis of atrial electrograms of patients in persistent atrial fibrillation
Authors: Salinet, João L.
Masca, Nicholas G. D.
Stafford, Peter J.
Ng, G. André
Schlindwein, Fernando Soares
First Published: 8-Mar-2016
Publisher: BioMed Central
Citation: BioMedical Engineering OnLine, 2016, 15:28
Abstract: Background: Areas with high frequency activity within the atrium are thought to be ‘drivers’ of the rhythm in patients with atrial fibrillation (AF) and ablation of these areas seems to be an effective therapy in eliminating DF gradient and restoring sinus rhythm. Clinical groups have applied the traditional FFT-based approach to generate the three-dimensional dominant frequency (3D DF) maps during electrophysiology (EP) procedures but literature is restricted on using alternative spectral estimation techniques that can have a better frequency resolution that FFT-based spectral estimation. Methods: Autoregressive (AR) model-based spectral estimation techniques, with emphasis on selection of appropriate sampling rate and AR model order, were implemented to generate high-density 3D DF maps of atrial electrograms (AEGs) in persistent atrial fibrillation (persAF). For each patient, 2048 simultaneous AEGs were recorded for 20.478 s-long segments in the left atrium (LA) and exported for analysis, together with their anatomical locations. After the DFs were identified using AR-based spectral estimation, they were colour coded to produce sequential 3D DF maps. These maps were systematically compared with maps found using the Fourier-based approach. Results: 3D DF maps can be obtained using AR-based spectral estimation after AEGs downsampling (DS) and the resulting maps are very similar to those obtained using FFT-based spectral estimation (mean 90.23%). There were no significant differences between AR techniques (p=0.62). The processing time for AR-based approach was considerably shorter (from 5.44 to 5.05 s) when lower sampling frequencies and model order values were used. Higher levels of DS presented higher rates of DF agreement (sampling frequency of 37.5Hz). Conclusion: We have demonstrated the feasibility of using AR spectral estimation methods for producing 3D DF maps and characterised their differences to the maps produced using the FFT technique, offering an alternative approach for 3D DF compu- tation in human persAF studies.
DOI Link: 10.1186/s12938-016-0143-8
ISSN: 1475-925X
eISSN: 1475-925X
Links: http://biomedical-engineering-online.biomedcentral.com/articles/10.1186/s12938-016-0143-8
http://hdl.handle.net/2381/37000
Version: Publisher Version
Status: Peer-reviewed
Type: Journal Article
Rights: Copyright © 2016 Salinet et al. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License ( http:// creativecommons.org/licenses/by/4.0/ ), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/ zero/1.0/ ) applies to the data made available in this article, unless otherwise stated.
Appears in Collections:Published Articles, Dept. of Engineering

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