Abstract
Bispectrum analysis is presented to analyze electroencephalogram( EEG) signals recorded during two states of motor acts i.e. during imagination and observation of hand movements. EEG signals are recorded from primary hand areas i.e. from electrode position C3 and C4. This paper emphasizes the nonlinear behavior of EEG signal and we figure out, by bispectrum analysis it is possible to estimate spontaneous rhythm in the EEG during imagination and observation of hand movements. The results show that the location of bispectral peaks in bifrequency are quite different depending on the EEG signals in different motor acts.
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Saikia, A., Hazarika, S.M. (2011). Bispectrum Analysis of EEG in Estimation of Hand Movement. In: Abraham, A., Lloret Mauri, J., Buford, J.F., Suzuki, J., Thampi, S.M. (eds) Advances in Computing and Communications. ACC 2011. Communications in Computer and Information Science, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22714-1_12
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DOI: https://doi.org/10.1007/978-3-642-22714-1_12
Publisher Name: Springer, Berlin, Heidelberg
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