loading
Documents

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Yohei Tomita 1 ; Antoine Gaume 1 ; Hovagim Bakardjian 2 ; Monique Maurice 2 ; Andrzej Cichocki 2 ; Yoko Yamaguchi 2 ; Gérard Dreyfus 1 and François-Benoît Maurice 3

Affiliations: 1 École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris, France ; 2 Riken BSI, Japan ; 3 École Supérieure de Physique et de Chimie Industrielles de la Ville de Paris and Riken BSI, France

ISBN: 978-989-8425-84-3

Keyword(s): Concatenation method, Heisenberg-Gabor uncertainty principle, High-temporal resolution BCI, SSVEP, EEG.

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). (More)

PDF ImageFull Text

Download
CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.206.187.81

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Tomita, Y.; Gaume, A.; Bakardjian, H.; Maurice, M.; Cichocki, A.; Yamaguchi, Y.; Dreyfus, G. and Maurice, F. (2011). CONCATENATION METHOD FOR HIGH-TEMPORAL RESOLUTION SSVEP-BCI .In Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: Special Session on Challenges in Neuroengineering, (IJCCI 2011) ISBN 978-989-8425-84-3, pages 444-452. DOI: 10.5220/0003724404440452

@conference{special session on challenges in neuroengineering11,
author={Yohei Tomita. and Antoine Gaume. and Hovagim Bakardjian. and Monique Maurice. and Andrzej Cichocki. and Yoko Yamaguchi. and Gérard Dreyfus. and Fran\c{C}ois{-}Benoît Maurice.},
title={CONCATENATION METHOD FOR HIGH-TEMPORAL RESOLUTION SSVEP-BCI },
booktitle={Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: Special Session on Challenges in Neuroengineering, (IJCCI 2011)},
year={2011},
pages={444-452},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003724404440452},
isbn={978-989-8425-84-3},
}

TY - CONF

JO - Proceedings of the International Conference on Neural Computation Theory and Applications - Volume 1: Special Session on Challenges in Neuroengineering, (IJCCI 2011)
TI - CONCATENATION METHOD FOR HIGH-TEMPORAL RESOLUTION SSVEP-BCI
SN - 978-989-8425-84-3
AU - Tomita, Y.
AU - Gaume, A.
AU - Bakardjian, H.
AU - Maurice, M.
AU - Cichocki, A.
AU - Yamaguchi, Y.
AU - Dreyfus, G.
AU - Maurice, F.
PY - 2011
SP - 444
EP - 452
DO - 10.5220/0003724404440452

Login or register to post comments.

Comments on this Paper: Be the first to review this paper.