Quintero Rincon, Antonio and Prendes, Jorge
and Pereyra, Marcelo Alejandro and Batatia, Hadj and Risk, Marcelo
Multivariate Bayesian classification of epilepsy EEG signals.
(2016)
In: 12th IEEE Workshop on Image, Video, and Multidimensional Signal Processing (IVMSP 2016), 11 July 2016 - 12 July 2016 (Bordeaux, France).
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(Document in English)
PDF (Author's version) - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader 178kB |
Official URL: http://dx.doi.org/10.1109/IVMSPW.2016.7528180
Abstract
The classification of epileptic seizure events in EEG signals is an important problem in biomedical engineering. In this paper we propose a Bayesian classification method for multivariate EEG signals. The method is based on a multilevel 2D wavelet decomposition that captures the distribution of energy across the different brain rhythms and regions, coupled with a generalised Gaussian statistical representation and a multivariate Bayesian classification scheme. The proposed approach is demonstrated on a challenging paediatric dataset containing both epileptic events and normal brain function signals, where it outperforms a state-of-the-art method both in terms of classification sensitivity and specificity.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Additional Information: | Thanks to IEEE editor. The definitive version is available at http://ieeexplore.ieee.org This papers appears in Proceedings of IVMSP 2016. Electronic ISBN: 978-1-5090-1929-8 The original PDF of the article can be found at: http://ieeexplore.ieee.org/document/7528180/ Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
| HAL Id: | hal-01782569 |
| Audience (conference): | International conference proceedings |
| Uncontrolled Keywords: | |
| Institution: | French research institutions > Centre National de la Recherche Scientifique - CNRS (FRANCE) Université de Toulouse > Institut National Polytechnique de Toulouse - Toulouse INP (FRANCE) Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Université de Toulouse > Université Toulouse - Jean Jaurès - UT2J (FRANCE) Université de Toulouse > Université Toulouse 1 Capitole - UT1 (FRANCE) Other partners > University of Bristol (UNITED KINGDOM) Other partners > Consejo Nacional de Investigaciones Científicas y Técnicas - CONICET (ARGENTINA) Other partners > Instituto Tecnológico de Buenos Aires - ITBA (ARGENTINA) |
| Laboratory name: | |
| Funders: | SuSTaIN program, EPSRC grant EP/D063485/1 at the Department of Mathematics, University of Bristol - ITBACyT grant DP/No.557/2015, ScientificTechnical Activities at Research department, Instituto Tecnologico de Buenos Aires - Marcelo Pereyra holds a Marie Curie Intra-European Fellowship for Career Development |
| Statistics: | download |
| Deposited On: | 03 Apr 2018 13:06 |
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