Abstract
Brain computer interface (BCI) is an interconnecting scheme between human brain and computer which entitles humans to interact with their environs by their brain waves instead of muscle activities. In the age of new argumentative technology, EEG signals are extensively employed in the involvement of BCI. The key motive of the work is to investigate EEG activities during imagination of hand movements. BCI competition IV dataset 2a were studied as well as analyzed in this research. We have detected the event related desynchronization and synchronization of mu and beta rythms during hand imagery movements by Power Spectral Analysis (PSA), Event Related Potential (ERP) plots, ERP comparison, Time-Frequency Analysis. Mainly, the EEG rhythms recorded at channels C3 and C4 are investigated. Results of this paper show that imagery movement of hands is usually associated with decrement in mu and beta rhythms, which is typically adversary to the moving activities. Our results are compatible with previous motor imagery researches and are of practical interest for the evolvement of BCI for motor reclamation.
Published Version
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