NDLI: Estimation of high-density activation maps during atrial fibrillation

Content Provider	IEEE Xplore Digital Library
Author	Alcaine, Alejandro de Groot, Natasja M. S. Laguna, Pablo Martinez, Juan Pablo Houben, Richard P. M.
Copyright Year	2015
Description	Author affiliation: Translational Electrophysiology Unit, Department of Cardiology, Erasmus Medical Center, Rotterdam, The Netherlands (de Groot, Natasja M. S.) \|\| Applied Biomedical Systems B.V., Maastricht, The Netherlands (Houben, Richard P. M.) \|\| Biomedical Signal Interpretation and Computational Simulation (BSICoS) Group, Aragón Institute of Engineering Research (I3A), IIS Aragón, Universidad de Zaragoza, Spain (Alcaine, Alejandro; Laguna, Pablo; Martinez, Juan Pablo)
Abstract	The study of activation maps using multi-electrode arrays (MEA) can help to understand atrial fibrillation (AF) mechanisms. Activation mapping based on recorded unipolar electrograms (u-EGM) rely on the local activation time (LAT) detector, which has a limited robustness, accuracy, and generally requires manual post-edition. In general, LAT detection ignores spatiotemporal information about activation and conduction conveyed by the relation between signals of the MEA sensor. This work proposes an approach to construct activation maps by simultaneous analysis of u-EGMs from small clusters of MEA electrodes. The algorithm iteratively fits an activation pattern model to the acquired data. Accuracy was evaluated by comparing with audited maps created by expert electrophysiologists from a patient undergoing open-chest surgery during AF. The estimation error was −0.29 ± 6.01 ms (236 maps, 28369 LATs) with high correlation (ρ = 0.93). Therefore, activation maps can be decomposed into local activation patterns derived from fitting an activation model, resulting in smooth and comprehensive high-density activation maps.
Starting Page	825
Ending Page	828
File Size	1590521
Page Count	4
File Format	PDF
ISBN	9781509006854
ISSN	2325887X
e-ISBN	9781509006847
DOI	10.1109/CIC.2015.7411038
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-09-06
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Creative Commons Attribution License 2.5 (CCAL)
Subject Keyword	Electrodes Heart Estimation Spatiotemporal phenomena Computational modeling Cardiology Iterative methods
Content Type	Text
Resource Type	Article
Subject	Computer Science Cardiology and Cardiovascular Medicine

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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