ICA-Based Method for Quantifying EEG Event-Related Desynchronization

Authors:
Danton Diego Ferreira;Antônio Maurício Sá;Augusto Santiago Cerqueira;José Manoel Seixas
Affiliations:
Federal University of Rio de Janeiro/COPPE, Rio de Janeiro, Brazil and Federal University of Juiz de Fora, Minas Gerais, Brazil;Federal University of Rio de Janeiro/COPPE, Rio de Janeiro, Brazil;Federal University of Juiz de Fora, Minas Gerais, Brazil;Federal University of Rio de Janeiro/COPPE, Rio de Janeiro, Brazil
Venue:
ICA '09 Proceedings of the 8th International Conference on Independent Component Analysis and Signal Separation
Year:
2009

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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.