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Article Details

Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.

Comparison of Classifiers and Statistical Analysis for EEG Signals Used in Brain Computer Interface Motor Task Paradigm

Author 1: Oana Diana Eva
Author 2: Anca Mihaela Lazar

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Digital Object Identifier (DOI) : 10.14569/IJARAI.2015.040102

Article Published in International Journal of Advanced Research in Artificial Intelligence(IJARAI), Volume 4 Issue 1, 2015.

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Abstract: Using the EEG Motor Movement/Imagery database there is proposed an off-line analysis for a brain computer interface (BCI) paradigm. The purpose of the quantitative research is to compare classifiers in order to determinate which of them has highest rates of classification. The power spectral density method is used to evaluated the (de)synchronizations that appear on Mu rhythm. The features extracted from EEG signals are classified using linear discriminant classifier (LDA), quadratic classifier (QDA) and classifier based on Mahalanobis distance (MD). The differences between LDA, QDA and MD are small, but the superiority of QDA was sustained by analysis of variance (ANOVA).

Keywords: brain computer interface; electroencephalogram; event related (de)synchronization

Oana Diana Eva and Anca Mihaela Lazar, “Comparison of Classifiers and Statistical Analysis for EEG Signals Used in Brain Computer Interface Motor Task Paradigm” International Journal of Advanced Research in Artificial Intelligence(IJARAI), 4(1), 2015. http://dx.doi.org/10.14569/IJARAI.2015.040102

@article{Eva2015,
title = {Comparison of Classifiers and Statistical Analysis for EEG Signals Used in Brain Computer Interface Motor Task Paradigm},
journal = {International Journal of Advanced Research in Artificial Intelligence},
doi = {10.14569/IJARAI.2015.040102},
url = {http://dx.doi.org/10.14569/IJARAI.2015.040102},
year = {2015},
publisher = {The Science and Information Organization},
volume = {4},
number = {1},
author = {Oana Diana Eva and Anca Mihaela Lazar}
}


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