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

Samraj, Andrews (2009) Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface. PhD thesis, Multimedia University.

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Abstract

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).

Item Type: Thesis (PhD)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication
P Language and Literature > P Philology. Linguistics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Users 27 not found.
Date Deposited: 24 Dec 2010 08:46
Last Modified: 24 Dec 2010 08:46
URI: http://shdl.mmu.edu.my/id/eprint/1781

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