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Division of Biomedical Engineering

Towards improved visual stimulus discrimination in an SSVEP BCI

Abstract

dc:description.abstract

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.

Degree

thesis:*
Grantor dc:publisher.institution
Division of Biomedical Engineering
Year dc:date.issued
2010

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Hodgskiss, Dean Leslie
Advisor dc:contributor.advisor
  • John, Lester

Rights

Language dc:language.iso
eng

Identifiers

dc:identifier.*
Handle dc:identifier.uri
http://hdl.handle.net/11427/11283
OAI identifier oai:identifier
oai:open.uct.ac.za:11427/11283

Chain of custody

source
Harvested from
University of Cape Town
Base URL
open.uct.ac.za/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Hodgskiss, Dean Leslie. Towards improved visual stimulus discrimination in an SSVEP BCI. Division of Biomedical Engineering, 2010. http://hdl.handle.net/11427/11283