Nikolay V. Manyakov, Nikolay Chumerin, Adrien Combaz, Arne Robben, Mark M. Van Hulle


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.


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Paper Citation

in Harvard Style

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

in Bibtex Style

author={Nikolay V. Manyakov and Nikolay Chumerin and Adrien Combaz and Arne Robben and Mark M. Van Hulle},
booktitle={Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)},

in EndNote Style

JO - Proceedings of the International Conference on Fuzzy Computation and 2nd International Conference on Neural Computation - Volume 1: ICNC, (IJCCI 2010)
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