Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface

This research thesis explores an efficient communication approach in P300 based single trial brain-computer interface (BCI). As a tool of rehabilitation engineering for the locked-in patients, the BCI is expected to be swift in performance and intelligent in recognition. With this aim, the objective...

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Bibliographic Details
Main Author:	Samraj, Andrews
Format:	Thesis
Published:	2009
Subjects:	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
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id	my-mmu-ep.1781
record_format	uketd_dc
spelling	my-mmu-ep.17812010-12-24T08:46:26Z Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface 2009-01 Samraj, Andrews TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television P Philology. Linguistics This research thesis explores an efficient communication approach in P300 based single trial brain-computer interface (BCI). As a tool of rehabilitation engineering for the locked-in patients, the BCI is expected to be swift in performance and intelligent in recognition. With this aim, the objectives of this thesis are to reduce noise from raw EEG signals using novel variants of principal component analysis (PCA) and singular value decomposition (SVD), to improve classification performance using Fuzzy ARTMAP, Simplified Fuzzy ARTMAP and a combination of other linear classifier and to reduce feature dimension and hardware requirement using genetic algorithm (GA). 2009-01 Thesis http://shdl.mmu.edu.my/1781/ http://vlib.mmu.edu.my/diglib/login/dlusr/login.php phd doctoral Multimedia University Research Library
institution	Multimedia University
collection	MMU Institutional Repository
topic	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television
spellingShingle	TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television TK5101-6720 Telecommunication Including telegraphy, telephone, radio, radar, television Samraj, Andrews Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface
description	This research thesis explores an efficient communication approach in P300 based single trial brain-computer interface (BCI). As a tool of rehabilitation engineering for the locked-in patients, the BCI is expected to be swift in performance and intelligent in recognition. With this aim, the objectives of this thesis are to reduce noise from raw EEG signals using novel variants of principal component analysis (PCA) and singular value decomposition (SVD), to improve classification performance using Fuzzy ARTMAP, Simplified Fuzzy ARTMAP and a combination of other linear classifier and to reduce feature dimension and hardware requirement using genetic algorithm (GA).
format	Thesis
qualification_name	Doctor of Philosophy (PhD.)
qualification_level	Doctorate
author	Samraj, Andrews
author_facet	Samraj, Andrews
author_sort	Samraj, Andrews
title	Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface
title_short	Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface
title_full	Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface
title_fullStr	Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface
title_full_unstemmed	Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface
title_sort	signal processing and classification of visual evoked potentials in a brain computer interface
granting_institution	Multimedia University
granting_department	Research Library
publishDate	2009
_version_	1747829452864225280

Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface

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