TY - GEN
T1 - Integrating interference frequency components elicited by monitor refresh rate to enhance frequency detection of SSVEPs
AU - Nakanishi, Masaki
AU - Wang, Yijun
AU - Wang, Yu Te
AU - Mitsukura, Yasue
AU - Jung, Tzyy Ping
PY - 2013
Y1 - 2013
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84897704775&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84897704775&partnerID=8YFLogxK
U2 - 10.1109/NER.2013.6696127
DO - 10.1109/NER.2013.6696127
M3 - Conference contribution
AN - SCOPUS:84897704775
SN - 9781467319690
T3 - International IEEE/EMBS Conference on Neural Engineering, NER
SP - 1092
EP - 1095
BT - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
T2 - 2013 6th International IEEE EMBS Conference on Neural Engineering, NER 2013
Y2 - 6 November 2013 through 8 November 2013
ER -