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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| التنسيق: | أطروحة |
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2009
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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 |