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Classification of multichannel EEG signal by linear discriminant analysis

Hasan, Mohammad Rubaiyat and Ibrahimy, Muhammad Ibn and Motakabber, S. M. A. and Shahid, Shahjahan (2015) Classification of multichannel EEG signal by linear discriminant analysis. In: 23rd International Conference on Systems Engineering, 19-21 August, 2014, Las Vegas, USA.

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Motor imagery (MI) related Electroencephalogram (EEG) signal classification is one of the main challenge in designing a brain computer interface (BCI) system. Linear Discriminant Analysis (LDA) has a very low computational requirement which makes it suitable for online BCI system. This paper proposes an advanced and simple classification technique for MI related BCI system. Initially the signal is extracted for different features. The LDA classifier has been used to propose technique to design an MI based BCI. For contrastive comparison other classification techniques have been evaluated by classification accuracy and Cohen's kappa.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 4637/38995
Uncontrolled Keywords: BCI; Cohen's Kappa; EEG Classification; LDA; Motor Imagery EEG
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Depositing User: Dr Muhammad Ibrahimy
Date Deposited: 07 Nov 2014 11:24
Last Modified: 20 Sep 2017 18:38
URI: http://irep.iium.edu.my/id/eprint/38995

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