Automatic Recognition of Visual Stimules by Single Evoked Potentials on an Electroencephalogram
https://doi.org/10.17586/0021-3454-2023-66-3-247-250
Abstract
The necessity of increasing the efficiency of automatic classification of visual stimuli by single evoked potentials on the observer's electroencephalogram is substantiated. The factors affecting the accuracy of recognition of the type of presented visual stimuli (living/non-living, clear/blurred) are determined. A data processing algorithm is developed that makes it possible to identify significant differences in the amplitudes of single evoked potentials.
About the Authors
M. Ya. Marusina
ITMO University
Russian Federation
Russian Federation
Maria Ya. Marusina - Dr. Sci., Professor; Faculty of Control Systems and Robotics
St. Petersburg
I. V. Burdaev
ITMO University
Russian Federation
Russian Federation
Igor V. Burdaev - Student; Faculty of Software Engineering and Computer Systems
St. Petersburg
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Review
For citations:
Marusina M.Ya., Burdaev I.V. Automatic Recognition of Visual Stimules by Single Evoked Potentials on an Electroencephalogram. Journal of Instrument Engineering. 2023;66(3):247-250. (In Russ.) https://doi.org/10.17586/0021-3454-2023-66-3-247-250
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