TY - GEN
T1 - Study on Reducing the Additional Synchronous Processing of SSVEP Using Non-harmonic Analysis
AU - Jia, Dongbao
AU - Takashima, Yuta
AU - Nishio, Takuro
AU - Hirobayashi, Kanna
AU - Hasegawa, Masaya
AU - Hirobayashi, Shigeki
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - In recent years, brain-computer interfaces have been applied in many fields such as the steady-state visual evoked potential (SSVEP). Reducing the time required for an experiment is necessary because the stimulation required to elicit SSVEPs causes great fatigue in the subjects. Although the additional synchronous processing is essential to reduce noise, especially when the responses have relatively low amplitudes and a large amount of additional synchronous processing achieves more accurate results, it also lengthens the experiments. In the conventional method, the frequency resolution is low because of the dependence of the short-time Fourier transform (STFT) on the analysis window length, and it is not possible to analyze a response with a small amount of additional synchronous processing. We propose a method to analyze the frequency change and SSVEP stimulus using non-harmonic analysis, which is not dependent on the analysis window length. We found that the precision was improved exponentially compared with the STFT, and the frequency resolution remained high even when a small amount of additional synchronous processing was performed.
AB - In recent years, brain-computer interfaces have been applied in many fields such as the steady-state visual evoked potential (SSVEP). Reducing the time required for an experiment is necessary because the stimulation required to elicit SSVEPs causes great fatigue in the subjects. Although the additional synchronous processing is essential to reduce noise, especially when the responses have relatively low amplitudes and a large amount of additional synchronous processing achieves more accurate results, it also lengthens the experiments. In the conventional method, the frequency resolution is low because of the dependence of the short-time Fourier transform (STFT) on the analysis window length, and it is not possible to analyze a response with a small amount of additional synchronous processing. We propose a method to analyze the frequency change and SSVEP stimulus using non-harmonic analysis, which is not dependent on the analysis window length. We found that the precision was improved exponentially compared with the STFT, and the frequency resolution remained high even when a small amount of additional synchronous processing was performed.
KW - additional synchronous processing
KW - brain- computer interface
KW - nonharmonics analysis
KW - steady-state visual evoked potential
UR - http://www.scopus.com/inward/record.url?scp=85065919475&partnerID=8YFLogxK
U2 - 10.1109/PIC.2018.8706316
DO - 10.1109/PIC.2018.8706316
M3 - 会議への寄与
AN - SCOPUS:85065919475
T3 - Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018
SP - 398
EP - 403
BT - Proceedings of the 2018 IEEE International Conference on Progress in Informatics and Computing, PIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Progress in Informatics and Computing, PIC 2018
Y2 - 14 December 2018 through 16 December 2018
ER -