Abstract
We propose an EEG-based discrimination method for the right/left hand movement in a single trial. The EEG was recorded during the voluntary movement and imagination of the hand movement. We made a feature vector for every second that represents the characteristics to reflect the process of the right/left movement. It was composed of the ERD, ERS patterns of the mu and beta rhythm and the coefficients of the autoregressive model best fitting for the data of the given period. Linear discrimination of their distributions in the vector space classified the right/left hand movement-related EEG activity efficiently.
This work was supported by Korean Research Foundation, KRF 2002-075-H0007 to S.Y. Cho, and a grant(M103KV010011 03K2201 01130) from Brain Research Center of the 21st Century Frontier Research Program funded by the Ministry of Science and Technology of Republic of Korea to S.K. Han.
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© 2004 Springer-Verlag Berlin Heidelberg
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Cho, S., Kim, J.A., Hwang, DU., Han, S.K. (2004). Single Trial Discrimination between Right and Left Hand Movement-Related EEG Activity. In: Bubak, M., van Albada, G.D., Sloot, P.M.A., Dongarra, J. (eds) Computational Science - ICCS 2004. ICCS 2004. Lecture Notes in Computer Science, vol 3036. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24685-5_32
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DOI: https://doi.org/10.1007/978-3-540-24685-5_32
Publisher Name: Springer, Berlin, Heidelberg
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