DocumentCode
3192389
Title
An approximation approach for rendering visual flickers in SSVEP-based BCI using monitor refresh rate
Author
Nakanishi, Masaki ; Yijun Wang ; Yu-Te Wang ; Mitsukura, Yasue ; Tzyy-Ping Jung
Author_Institution
Grad. Sch. of Sci. & Technol., Keio Univ., Yokohama, Japan
fYear
2013
fDate
3-7 July 2013
Firstpage
2176
Lastpage
2179
Abstract
Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have potential to realize a direct communication between the human brain and the external environment in practical situations. In the conventional stimulus presentation approach, which requires a constant period of stimulation, the number of frequencies that can be presented on a computer monitor is always limited by the refresh rate of a monitor. Although an alternative approach that uses a variable on/off frame number to approximate a target flickering stimulus has been proposed in our recent study, a direct comparison between SSVEPs elicited by the conventional constant period approach and the approximation approach is still missing. This study aims to compare the amplitude, signal-to-noise ratio (SNR) and target identification accuracy of SSVEPs elicited using these two approaches with a monitor at two refresh rates (75Hz and 120Hz). Results of this study suggest that the SSVEPs elicited by the approximation approach are mostly comparable with those elicited by the constant period approach.
Keywords
approximation theory; brain-computer interfaces; medical computing; rendering (computer graphics); visual evoked potentials; SNR; SSVEP-based BCI; approximation approach; computer monitor; human brain; monitor refresh rate; signal-to-noise ratio; steady-state visual evoked potential-based brain-computer interfaces; target identification accuracy; visual flicker rendering; Accuracy; Approximation methods; Brain-computer interfaces; Electroencephalography; Monitoring; Signal to noise ratio; Visualization;
fLanguage
English
Publisher
ieee
Conference_Titel
Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
Conference_Location
Osaka
ISSN
1557-170X
Type
conf
DOI
10.1109/EMBC.2013.6609966
Filename
6609966
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