Abstract
In this paper an approach to build a brain computer-based hemispheric synchronization system is presented. The concept utilizes the wireless EEG signal registration and acquisition as well as advanced pre-processing methods. The influence of various filtration techniques of EOG artifacts on brain state recognition is examined. The emphasis is put on brain state recognition using band pass filtration for separation of individual brain rhythms. In particular, the recognition of alpha and beta states is examined to assess whether synchronization occurred. Two independent methods of hemispheric synchronization analysis are given, i.e. the first consisted in calculating statistical parameters for the entire signal registered and the second one in using wavelet-based feature statistics for different lengths of time windows, and then discussed. Perspectives of the system development are shown in the conclusions.
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Katarzyna, K., Krzysztof, K., Piotr, O., Bożena, K. (2010). Biofeedback-Based Brain Hemispheric Synchronizing Employing Man-Machine Interface. In: Tsihrintzis, G.A., Damiani, E., Virvou, M., Howlett, R.J., Jain, L.C. (eds) Intelligent Interactive Multimedia Systems and Services. Smart Innovation, Systems and Technologies, vol 6. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14619-0_7
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DOI: https://doi.org/10.1007/978-3-642-14619-0_7
Publisher Name: Springer, Berlin, Heidelberg
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