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Authors: Esteve Gallego-Jutglà 1 ; Tomasz M. Rutkowski 2 ; Andrzej Cichocki 3 and Jordi Solé-Casals 1

Affiliations: 1 University of Vic, Spain ; 2 RIKEN Brain Science Institute and University of Tsukuba, Japan ; 3 RIKEN Brain Science Institute, Japan

ISBN: 978-989-8565-33-4

ISSN: 2184-2825

Keyword(s): EEG, Alzheimer Disease, Multivariate Empirical Mode Decomposition, Artifacts, Linear Discriminant Analysis, Neural Networks.

Abstract: Artifacts are present in most of the electroencephalography (EEG) recordings, making it difficult to interpret or analyze the data. In this paper a cleaning procedure based on a multivariate extension of empirical mode decomposition is used to improve the quality of the data. This is achieved by applying the cleaning method to raw EEG data. Then, a synchrony measure is applied on the raw and the clean data in order to compare the improvement of the classification rate. Two classifiers are used, linear discriminant analysis and neural networks. For both cases, the classification rate is improved about 20%.

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Paper citation in several formats:
Gallego-Jutglà, E.; Rutkowski, T.; Cichocki, A. and Solé-Casals, J. (2012). EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition.In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012) ISBN 978-989-8565-33-4, ISSN 2184-2825, pages 670-676. DOI: 10.5220/0004182206700676

@conference{sscn12,
author={Esteve Gallego{-}Jutglà. and Tomasz M. Rutkowski. and Andrzej Cichocki. and Jordi Solé{-}Casals.},
title={EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition},
booktitle={Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012)},
year={2012},
pages={670-676},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004182206700676},
isbn={978-989-8565-33-4},
}

TY - CONF

JO - Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: SSCN, (IJCCI 2012)
TI - EEG Signal Analysis via a Cleaning Procedure based on Multivariate Empirical Mode Decomposition
SN - 978-989-8565-33-4
AU - Gallego-Jutglà, E.
AU - Rutkowski, T.
AU - Cichocki, A.
AU - Solé-Casals, J.
PY - 2012
SP - 670
EP - 676
DO - 10.5220/0004182206700676

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