Archiving and analysis of electroencephalograms in Ukrainian Grid: The first application

Distributed database and analysis tools for electroencephalography (EEG) data archiving and procession in Ukrainian Grid Infrastructure were proposed, implemented and applied for separation of signal sources. The database is being populated with human scalp EEG and rat intracranial EEG data now. Resources consuming algorithms for removal of electromyogram and electro-oculogram artifacts from human scalp EEG were applied using the database. Applied algorithms are based on nonlinear blind source separation techniques with the Second Order Blind Identification and asymptotically optimal weights. Applied algorithms proved to be efficient for preliminary EEG data procession and are being implemented for distributed application in Grid.