loading
Papers

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Nikolay V. Manyakov ; Nikolay Chumerin ; Adrien Combaz ; Arne Robben and Mark M. Van Hulle

Affiliation: K. U. Leuven, Belgium

ISBN: 978-989-8425-32-4

Keyword(s): Steady-state visual evoked potential, EEG, Decoding, Brain-computer interafce.

Related Ontology Subjects/Areas/Topics: Artificial Intelligence ; Biomedical Engineering ; Biomedical Signal Processing ; Computational Intelligence ; Computational Neuroscience ; Computer-Supported Education ; Domain Applications and Case Studies ; Fuzzy Systems ; Health Engineering and Technology Applications ; Human-Computer Interaction ; Industrial, Financial and Medical Applications ; Methodologies and Methods ; Neural Networks ; Neurocomputing ; Neuroinformatics and Bioinformatics ; Neurotechnology, Electronics and Informatics ; Pattern Recognition ; Physiological Computing Systems ; Sensor Networks ; Signal Processing ; Soft Computing ; Theory and Methods

Abstract: In this paper, we propose a new time domain method for decoding the steady-state visual evoked potential recorded while the subject is looking at stimuli flickering with constant frequencies. Using several such stimuli, with different frequencies, a brain-computer interface can be built. We have assessed the influence of the number of electrodes on the decoding accuracy. A comparison between active wet- and bristle dry electrodes were made. The dependence between accuracy and the length of the EEG interval used for decoding was shown.

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 18.210.23.15

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:
V. Manyakov, N.; Chumerin, N.; Combaz, A.; Robben, A. and M. Van Hulle, M. (2010). DECODING SSVEP RESPONSES USING TIME DOMAIN CLASSIFICATION.In Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010) ISBN 978-989-8425-32-4, pages 376-380. DOI: 10.5220/0003106103760380

@conference{icnc10,
author={Nikolay V. Manyakov. and Nikolay Chumerin. and Adrien Combaz. and Arne Robben. and Mark M. Van Hulle.},
title={DECODING SSVEP RESPONSES USING TIME DOMAIN CLASSIFICATION},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},
year={2010},
pages={376-380},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0003106103760380},
isbn={978-989-8425-32-4},
}

TY - CONF

JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
TI - DECODING SSVEP RESPONSES USING TIME DOMAIN CLASSIFICATION
SN - 978-989-8425-32-4
AU - V. Manyakov, N.
AU - Chumerin, N.
AU - Combaz, A.
AU - Robben, A.
AU - M. Van Hulle, M.
PY - 2010
SP - 376
EP - 380
DO - 10.5220/0003106103760380

Login or register to post comments.

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