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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| Format: | Thesis |
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2009
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| Online Access: | http://shdl.mmu.edu.my/1781/ |
| _version_ | 1848789884580397056 |
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| author | Samraj, Andrews |
| author_facet | Samraj, Andrews |
| author_sort | Samraj, Andrews |
| building | MMU Institutional Repository |
| collection | Online Access |
| 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). |
| first_indexed | 2025-11-14T18:03:49Z |
| format | Thesis |
| id | mmu-1781 |
| institution | Multimedia University |
| institution_category | Local University |
| last_indexed | 2025-11-14T18:03:49Z |
| publishDate | 2009 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | mmu-17812010-12-24T08:46:26Z http://shdl.mmu.edu.my/1781/ Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface 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 NonPeerReviewed Samraj, Andrews (2009) Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface. PhD thesis, Multimedia University. http://vlib.mmu.edu.my/diglib/login/dlusr/login.php |
| spellingShingle | TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television P Philology. Linguistics Samraj, Andrews Signal Processing and Classification of Visual Evoked Potentials in a Brain Computer Interface |
| title | 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_short | 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 |
| topic | TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television P Philology. Linguistics |
| url | http://shdl.mmu.edu.my/1781/ http://shdl.mmu.edu.my/1781/ |