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Towards improved visual stimulus discrimination in an SSVEP BCI
The dissertation investigated the influence of stimulus characteristics, electroencephalographic (EEG) electrode location and three signal processing methods on the spectral signal to noise ratio (SNR) of Steady State Visual Evoked Potentials (SSVEPs) with a view for use in Brain-Computer Interfaces...
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| Other Authors: | |
| Format: | Thesis |
| Language: | English |
| Published: |
Division of Biomedical Engineering
2015
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| _version_ | 1867613156055973888 |
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| access_status_str | Open Access |
| author | Hodgskiss, Dean Leslie |
| author2 | John, Lester |
| author_browse | Hodgskiss, Dean Leslie John, Lester |
| author_facet | John, Lester Hodgskiss, Dean Leslie |
| author_sort | Hodgskiss, Dean Leslie |
| collection | Thesis |
| description | The dissertation investigated the influence of stimulus characteristics, electroencephalographic (EEG) electrode location and three signal processing methods on the spectral signal to noise ratio (SNR) of Steady State Visual Evoked Potentials (SSVEPs) with a view for use in Brain-Computer Interfaces (BCIs). It was hypothesised that the new spectral baseline processing method introduced here, termed the 'activity baseline', would result in an improved SNR. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/11283 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:31:38.662Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2015 |
| publishDateRange | 2015 |
| publishDateSort | 2015 |
| publisher | Division of Biomedical Engineering |
| publisherStr | Division of Biomedical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/11283 Towards improved visual stimulus discrimination in an SSVEP BCI Hodgskiss, Dean Leslie John, Lester Biomedical Engineering The dissertation investigated the influence of stimulus characteristics, electroencephalographic (EEG) electrode location and three signal processing methods on the spectral signal to noise ratio (SNR) of Steady State Visual Evoked Potentials (SSVEPs) with a view for use in Brain-Computer Interfaces (BCIs). It was hypothesised that the new spectral baseline processing method introduced here, termed the 'activity baseline', would result in an improved SNR. 2015-01-04T14:38:30Z 2015-01-04T14:38:30Z 2010 Master Thesis Masters MSc http://hdl.handle.net/11427/11283 eng application/pdf Division of Biomedical Engineering Faculty of Health Sciences University of Cape Town |
| spellingShingle | Biomedical Engineering Hodgskiss, Dean Leslie Towards improved visual stimulus discrimination in an SSVEP BCI |
| thesis_degree_str | Master's |
| title | Towards improved visual stimulus discrimination in an SSVEP BCI |
| title_full | Towards improved visual stimulus discrimination in an SSVEP BCI |
| title_fullStr | Towards improved visual stimulus discrimination in an SSVEP BCI |
| title_full_unstemmed | Towards improved visual stimulus discrimination in an SSVEP BCI |
| title_short | Towards improved visual stimulus discrimination in an SSVEP BCI |
| title_sort | towards improved visual stimulus discrimination in an ssvep bci |
| topic | Biomedical Engineering |
| url | http://hdl.handle.net/11427/11283 |
| work_keys_str_mv | AT hodgskissdeanleslie towardsimprovedvisualstimulusdiscriminationinanssvepbci |