ICA-based method for quantifying EEG event-related desynchronization

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Abstract

A new technique for investigating synchronism in the electroencephalogram (EEG) during intermittent photic stimulation (IPS), based on the Independent Component Analysis (ICA) is proposed. It was tested with simulation EEG data and the coherence estimation-based methods were used for performance evaluation. The application of ICA-based allows a suitable investigation about event-related desynchronization (ERD) studies, since it can separate the phase-locked and time-locked spectra to the external stimulation. © Springer-Verlag Berlin Heidelberg 2009.

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Ferreira, D. D., De Sa, A. M. F. L. M., Cerqueira, A. S., & De Seixas, J. M. (2009). ICA-based method for quantifying EEG event-related desynchronization. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5441, pp. 403–410). https://doi.org/10.1007/978-3-642-00599-2_51

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