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Title: Nonlinearity characterization and entropy analysis of intracardiac atrial electrogram signals
Authors: Salinet, J. L.
Marques, J. A. L.
Madeiro, J. P. V.
Salinet, A. S. M.
Ng, G. A.
Schlindwein, Fernando Soares
First Published: 17-Oct-2014
Presented at: XXIV Congresso Brasileiro de Engenharia Biomédica, Uberlandia, Brazil, 13th-17th Oct 2014.
Start Date: 13-Oct-2014
End Date: 17-Oct-2014
Publisher: CBEB
Citation: XXIV Congresso Brasileiro de Engenharia Biomédica, Uberlandia, Brazil, 2014.
Abstract: The main objective of this paper is to identify evidences of nonlinear components in persistent atrial fibrillation electrograms (persAF). Firstly, an exploratory data analysis using linear approaches (autocorrelation and spectral analysis) was performed to assess the behaviour of the AF electrograms. Secondly, a nonlinear characterization using surrogate data analysis was performed with a complementary return map comparison. Finally, Approximate Entropy (ApEn) was considered as an analysis tool of system complexity to measure disorganization over time for different AF behaviours. From our results, (1) we identified strong evidence of nonlinear components negating the null hypothesis, (2) lower ApEn values were associated with organized and periodic AF activations and higher entropy values were associated with the increase of electrogram complexity and (3) ApEn response of longer window segments showed a general AF behaviour while shorter windows (1s and 2s) help identifying dynamical atrium electrical changes.
Version: Post-print
Status: Peer-reviewed
Type: Conference Paper
Rights: Copyright © The Authors, 2014
Appears in Collections:Conference Papers & Presentations, Dept. of Engineering

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