Rotor tracking using phase of electrograms recorded during atrial fibrillation

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Title: Rotor tracking using phase of electrograms recorded during atrial fibrillation
Authors: Roney, CH
Cantwell, CD
Qureshi, NA
Chowdhury, RA
Dupont, E
Lim, PB
Vigmond, EJ
Tweedy, JH
Ng, FS
Peters, NS
Item Type: Journal Article
Abstract: Extracellular electrograms recorded during atrial fibrillation (AF) are challenging to interpret due to the inherent beat-to-beat variability in amplitude and duration. Phase mapping represents these voltage signals in terms of relative position within the cycle, and has been widely applied to action potential and unipolar electrogram data of myocardial fibrillation. To date, however, it has not been applied to bipolar recordings, which are commonly acquired clinically. The purpose of this study is to present a novel algorithm for calculating phase from both unipolar and bipolar electrograms recorded during AF. A sequence of signal filters and processing steps are used to calculate phase from simulated, experimental, and clinical, unipolar and bipolar electrograms. The algorithm is validated against action potential phase using simulated data (trajectory centre error <0.8 mm); between experimental multi-electrode array unipolar and bipolar phase; and for wavefront identification in clinical atrial tachycardia. For clinical AF, similar rotational content (R (2) = 0.79) and propagation maps (median correlation 0.73) were measured using either unipolar or bipolar recordings. The algorithm is robust, uses standard signal processing techniques, and accurately quantifies AF wavefronts and sources. Identifying critical sources, such as rotors, in AF, may allow for more accurate targeting of ablation therapy and improved patient outcomes.
Issue Date: 5-Dec-2016
Date of Acceptance: 8-Nov-2016
ISSN: 1573-9686
Publisher: Springer Verlag
Start Page: 910
End Page: 923
Journal / Book Title: Annals of Biomedical Engineering
Volume: 45
Issue: 4
Copyright Statement: © The Author(s) 2016. This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (, 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.
Sponsor/Funder: British Heart Foundation
Funder's Grant Number: FS/11/22/28745
Keywords: Science & Technology
Engineering, Biomedical
Cardiac arrhythmia
Phase singularity mapping
Electrogram analysis
Cardiac arrhythmia
Electrogram analysis
Phase singularity mapping
Biomedical Engineering
11 Medical And Health Sciences
09 Engineering
Publication Status: Published
Conference Place: United States
Appears in Collections:Faculty of Engineering
National Heart and Lung Institute
Faculty of Medicine

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