DocumentCode :
662877
Title :
Comparison of plain and checkerboard stimuli for brain computer interfaces based on steady state visual evoked potentials
Author :
Zerafa, Rosanne ; Camilleri, Tracey ; Falzon, Owen ; Camilleri, K.P.
Author_Institution :
Dept. of Syst. & Control Eng., Univ. of Malta, Msida, Malta
fYear :
2013
fDate :
6-8 Nov. 2013
Firstpage :
33
Lastpage :
36
Abstract :
A steady-state visual evoked potential (SSVEP) is a neural response observed in the visual cortex evoked by repetitive visual stimulation. In an SSVEP-based brain-computer interface (BCI) application various visual stimuli that induce SSVEPs at different frequencies are associated with distinct commands; a user activates a particular command by focusing on the targeted stimulus. The pattern of these visual stimuli is one of the properties that affects the accuracy of SSVEP detection. This work thus compares the two most common types of stimuli, which are the plain and checkerboard stimuli, for BCI systems. Results showed a statistically significant 9.26% average increase in SSVEP classification when using a plain stimulus over a checkerboard stimulus.
Keywords :
brain-computer interfaces; electroencephalography; medical signal detection; medical signal processing; neurophysiology; signal classification; statistical analysis; visual evoked potentials; SSVEP classification; SSVEP detection; SSVEP-based brain-computer interface application; checkerboard stimuli; neural response; plain stimuli; steady-state visual evoked potential; visual cortex; visual stimuli pattern; Accuracy; Electroencephalography; Harmonic analysis; Monitoring; Signal to noise ratio; Steady-state; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Engineering (NER), 2013 6th International IEEE/EMBS Conference on
Conference_Location :
San Diego, CA
ISSN :
1948-3546
Type :
conf
DOI :
10.1109/NER.2013.6695864
Filename :
6695864
Link To Document :
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