DocumentCode :
663136
Title :
Integrating interference frequency components elicited by monitor refresh rate to enhance frequency detection of SSVEPs
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 :
6-8 Nov. 2013
Firstpage :
1092
Lastpage :
1095
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 outside environment in real-life situations. Recently, we proposed a stimulation approximation approach to increase the number of visual stimuli that can be realized on a computer monitor. In addition to the fundamental and harmonic frequencies, the refresh rate-based stimulation approach also elicits SSVEPs at other frequencies that are termed interference frequencies, which are derived from the interaction between the stimulation frequency and the refresh rate. This study aims to investigate properties of the interference frequency components, and propose to integrate the interference frequency components to enhance frequency detection of SSVEPs. The results suggest that the proposed approach could substantially improve the frequency detection accuracy of SSVEPs.
Keywords :
approximation theory; brain-computer interfaces; computer displays; electroencephalography; interference suppression; signal detection; visual evoked potentials; SSVEP; brain-computer interface; computer monitor; enhance frequency detection accuracy; fundamental frequency; harmonic frequency; human brain; interference frequency component integration; refresh rate monitoring; refresh rate-based stimulation approach; steady-state visual evoked potential; stimulation approximation approach; stimulation frequency; visual stimuli; Accuracy; Approximation methods; Electroencephalography; Harmonic analysis; Interference; Monitoring; 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.2013.6696127
Filename :
6696127
Link To Document :
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