Projects in Neurophysiology

Electroencephalographic (EEG) signal processing represents a complex process consisting of several subsequent steps. Main performed steps are data acquisition and storing, preprocessing, segmentation, extraction of descriptive features, dimensionality reduction, visualization, clustering and classification.

Computer assisted processing of electroencephalographic recordings is gaining a growing importance. Some of the aims of computer assisted processing are to simplify tedious and time consuming work of neurologists, make the evaluation more objective, and visualize results and represent them in a convenient form. In most cases, the agreement of an automatic method with visual analysis is a basic criterion for its acceptance.

The automatic systems cannot fully replace a physician but they are to make his/her work more efficient. For example, they identify segments of the signal where there are deviations from standard brain activity and in this way they shorten the time required for visual inspection of the whole recording.

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