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Classification of multichannel EEG signal by single layer perceptron learning algorithm

Hasan, Mohammad Rubaiyat and Ibrahimy, Muhammad Ibn and Motakabber, S. M. A. and Shahid, Shahjahan (2014) Classification of multichannel EEG signal by single layer perceptron learning algorithm. In: 5th International Conference on Computer and Communication Engineering (ICCCE 2014), 23th - 25th September 2014, Sunway Putra Hotel, Kuala Lumpur.

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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. Single Layer Perceptron Learning (SLPL) algorithm 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 SLPL classifier has been used to propose technique to design an MI based BCI. For contrastive comparison with other classification techniques have been evaluated by classification accuracy, mutual information and Cohen’s kappa.

Item Type: Conference or Workshop Item (Invited Papers)
Additional Information: 4637/39001 (ISBN: 978-1-4799-7635-5, DOI: 10.1109/ICCCE.2014.79)
Uncontrolled Keywords: Motor Imagery EEG; EEG Classification; SLPL; Cohen’s Kappa
Subjects: T Technology > T Technology (General)
Kulliyyahs/Centres/Divisions/Institutes (Can select more than one option. Press CONTROL button): Kulliyyah of Engineering
Kulliyyah of Engineering > Department of Electrical and Computer Engineering
Depositing User: Dr Muhammad Ibrahimy
Date Deposited: 07 Nov 2014 11:19
Last Modified: 20 Sep 2017 18:41
URI: http://irep.iium.edu.my/id/eprint/39001

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