Periodicity detection for BCI based on periodic code modulation visual evoked potentials

Masaki Nakanishi, Yasue Mitsukura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

In this paper, we studied the brain computer interface (BCI) based on periodic code modulation visual evoked potential (VEP). The code modulation VEP (c-VEP) is one of electroencephalogram (EEG)-based BCI methods, and can achieve high speed communication. In this method, by identifying a pseudorandom binary code (PRBC) that modulates visual stimulus from measured EEG, we can transfer the command related with the PRBC into external devices. However, the communication speed becomes slow inversely with increased number of commands. In order to solve this problem, we proposed extended c-VEP method using periodic pseudorandom binary codes. In this method, we identify the periodicity from the EEG by using autocorrelation, and the command related with periodicity of the EEG is transferred. As a result of computer simulation, we were able to detect the periodicity of the EEG. Therefore, we verified the feasibility of the periodic pseudorandom binary codes for VEP-based BCI.

Original languageEnglish
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Pages665-668
Number of pages4
DOIs
Publication statusPublished - 2012
Event2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012 - Kyoto, Japan
Duration: 2012 Mar 252012 Mar 30

Other

Other2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012
CountryJapan
CityKyoto
Period12/3/2512/3/30

Fingerprint

Brain computer interface
Bioelectric potentials
Electroencephalography
Binary codes
Modulation
Communication
Autocorrelation
Computer simulation

Keywords

  • Autocorrelation
  • Brain-computer interfaces
  • Electroencephalography
  • Visual evoked potentials

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Nakanishi, M., & Mitsukura, Y. (2012). Periodicity detection for BCI based on periodic code modulation visual evoked potentials. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 665-668). [6287971] https://doi.org/10.1109/ICASSP.2012.6287971

Periodicity detection for BCI based on periodic code modulation visual evoked potentials. / Nakanishi, Masaki; Mitsukura, Yasue.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. p. 665-668 6287971.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Nakanishi, M & Mitsukura, Y 2012, Periodicity detection for BCI based on periodic code modulation visual evoked potentials. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 6287971, pp. 665-668, 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2012, Kyoto, Japan, 12/3/25. https://doi.org/10.1109/ICASSP.2012.6287971
Nakanishi M, Mitsukura Y. Periodicity detection for BCI based on periodic code modulation visual evoked potentials. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. p. 665-668. 6287971 https://doi.org/10.1109/ICASSP.2012.6287971
Nakanishi, Masaki ; Mitsukura, Yasue. / Periodicity detection for BCI based on periodic code modulation visual evoked potentials. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2012. pp. 665-668
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