Classification of multichannel EEG signal by linear discriminant analysis

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 propose...

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Main Authors:	Hasan, Mohammad Rubaiyat, Ibrahimy, Muhammad Ibn, Motakabber, S. M. A., Shahid, Shahjahan
Format:	Conference or Workshop Item
Language:	English English English
Published:	Springer International Publishing AG 2015
Subjects:	T Technology (General)
Online Access:	http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/1/279.pdf http://irep.iium.edu.my/38995/4/ICSEng_2014_-_23rd_INTERNATIONAL_CONFERENCE_ON_SYSTEMS_ENGINEERING.pdf http://irep.iium.edu.my/38995/7/42469_Classification%20of%20multichannel%20EEG%20signal%20by%20linear_Scopus.pdf

id	iium-38995
recordtype	eprints
spelling	iium-389952017-09-20T10:38:05Z http://irep.iium.edu.my/38995/ Classification of multichannel EEG signal by linear discriminant analysis Hasan, Mohammad Rubaiyat Ibrahimy, Muhammad Ibn Motakabber, S. M. A. Shahid, Shahjahan T Technology (General) 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. Springer International Publishing AG 2015-08 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/38995/1/279.pdf application/pdf en http://irep.iium.edu.my/38995/4/ICSEng_2014_-_23rd_INTERNATIONAL_CONFERENCE_ON_SYSTEMS_ENGINEERING.pdf application/pdf en http://irep.iium.edu.my/38995/7/42469_Classification%20of%20multichannel%20EEG%20signal%20by%20linear_Scopus.pdf 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. http://link.springer.com/chapter/10.1007%2F978-3-319-08422-0_42#page-1 10.1007/978-3-319-08422-0_42
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English English
topic	T Technology (General)
spellingShingle	T Technology (General) Hasan, Mohammad Rubaiyat Ibrahimy, Muhammad Ibn Motakabber, S. M. A. Shahid, Shahjahan Classification of multichannel EEG signal by linear discriminant analysis
description	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.
format	Conference or Workshop Item
author	Hasan, Mohammad Rubaiyat Ibrahimy, Muhammad Ibn Motakabber, S. M. A. Shahid, Shahjahan
author_facet	Hasan, Mohammad Rubaiyat Ibrahimy, Muhammad Ibn Motakabber, S. M. A. Shahid, Shahjahan
author_sort	Hasan, Mohammad Rubaiyat
title	Classification of multichannel EEG signal by linear discriminant analysis
title_short	Classification of multichannel EEG signal by linear discriminant analysis
title_full	Classification of multichannel EEG signal by linear discriminant analysis
title_fullStr	Classification of multichannel EEG signal by linear discriminant analysis
title_full_unstemmed	Classification of multichannel EEG signal by linear discriminant analysis
title_sort	classification of multichannel eeg signal by linear discriminant analysis
publisher	Springer International Publishing AG
publishDate	2015
url	http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/ http://irep.iium.edu.my/38995/1/279.pdf http://irep.iium.edu.my/38995/4/ICSEng_2014_-_23rd_INTERNATIONAL_CONFERENCE_ON_SYSTEMS_ENGINEERING.pdf http://irep.iium.edu.my/38995/7/42469_Classification%20of%20multichannel%20EEG%20signal%20by%20linear_Scopus.pdf
first_indexed	2023-09-18T20:56:01Z
last_indexed	2023-09-18T20:56:01Z
_version_	1777410308819648512

Classification of multichannel EEG signal by linear discriminant analysis

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