Discriminative Frequencies and Temporal EEG Segmentation in the Motor Imagery Classification Approach von Lazurenko, Dmitry, Shepelev, Igor, Shaposhnikov, Dmitry, Saevskiy, Anton, Kiroy, Valery

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Motor Imagery Patterns Classification by Finding Discriminative Frequencies and Time Segments von Saevskiy, Anton I., Shepelev, Igor E., Shaposhnikov, Dmitry G., Lazurenko, Dmitry M., Kiroy, Valery N.

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A Software System for Training Motor Imagery in Virtual Reality von Shepelev, Danil I., Saevsky, Anton I., Shepelev, Igor E., Shaposhnikov, Dmitry G., Lazurenko, Dmitry M.

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Search for Informative Frequency Range and EEG Time Boundaries for Solving the Problem of Motor Imagery Patterns Classification von Saevskiy, Anton I., Shepelev, Igor E., Lazurenko, Dmitry M., Shaposhnikov, Dmitry G.

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Motor Imagery-Related Quasi-Stationary EEG Patterns for Neural Interfaces von Lazurenko, Dmitry M., Shaposhnikov, Dmitry G., Shepelev, Igor E., Shaposhnikov, Pavel D., Kiroy, Valery N.

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Development of Algorithms to Detect EEG Patterns Specific for Arbitrary Motor Activity of a Human in the BCI Applications von Shcherban, Igor V., Lazurenko, Dmitry M., Shaposhnikov, Dmitry G., Kirilenko, Nikolay E.

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Comparative Analysis of Statistical and Neural Network Classification Methods on the Example of Synthetized Data in the Stimulus-Independent Brain-Computer Interface Paradigm... von Saevskiy, Anton I., Shepelev, Igor E., Shcherban, Igor V., Shaposhnikov, Dmitry G., Lazurenko, Dmitry M.

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