Concatenation method for high-temporal resolution SSVEP-BCI

Yohei Tomita, Antoine Gaume, Hovagim Bakardjian, Monique Maurice, Andrzej Cichocki, Yoko Yamaguchi, Gérard Dreyfus, François Benoît Vialatte

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

Electroencephalographic (EEG) signals are generally non-stationary, however, nearly stationary brain responses, such as steady-state visually evoked potentials (SSVEP), can be recorded in response to repetitive stimuli. Although Fourier transform has precise resolution with long time windows (5 or 10 s for instance) to extract SSVEP response (1-100 Hz ranges), its resolution with shorter windows decreases due to the Heisenberg-Gabor uncertainty principle. Therefore, it is not easy to extract evoked responses such as SSVEP within short EEG epochs. This limits the information transfer rate of SSVEP-based brain-computer interfaces. In order to circumvent this limitation, we concatenate EEG signals recorded simultaneously from different channels, and we Fourier analyze the resulting sequence. From this constructed signal, high frequency resolution can be obtained with time epochs as small as only 1 s, which improves SSVEPs classification. This method may be effective for high-speed brain computer interfaces (BCI).

Original languageEnglish
Title of host publicationNCTA 2011 - Proceedings of the International Conference on Neural Computation Theory and Applications
Pages444-452
Number of pages9
Publication statusPublished - 2011
Externally publishedYes
EventInternational Conference on Neural Computation Theory and Applications, NCTA 2011 - Paris, France
Duration: 24 Oct 201126 Oct 2011

Publication series

NameNCTA 2011 - Proceedings of the International Conference on Neural Computation Theory and Applications

Conference

ConferenceInternational Conference on Neural Computation Theory and Applications, NCTA 2011
Country/TerritoryFrance
CityParis
Period24/10/1126/10/11

Keywords

  • Concatenation method
  • EEG
  • Heisenberg-Gabor uncertainty principle
  • High-temporal resolution BCI
  • SSVEP

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