Abstract
We present the classification of Steady State Visual Evoked Potential (SSVEP) using adaptive filters. Those filters are based on the optimization theory and they have the capability of modifying their properties according to selected features of the signals being analyzed. There have been proposed two schemes to classify SSVEP, one using the SSVEP fundamental frequencies and the other one adding their harmonics. The results obtained with adaptive filters are higher than those obtained with classical filters schemes (e.g. Chevyschev II filter). The proposed method is able to extract SSVEP with its harmonics and it allows better classification results than the best standard filter. Besides, this algorithm is fast and can be used for real-time BCI.
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© 2013 Springer Berlin Heidelberg
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Diez, P.F., Correa, A.G., Leber, E.L. (2013). SSVEP Detection Using Adaptive Filters. In: Folgueras Méndez, J., et al. V Latin American Congress on Biomedical Engineering CLAIB 2011 May 16-21, 2011, Habana, Cuba. IFMBE Proceedings, vol 33. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21198-0_293
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DOI: https://doi.org/10.1007/978-3-642-21198-0_293
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21197-3
Online ISBN: 978-3-642-21198-0
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