Algorithm of Mathematical Analysis of Spatio-Temporal and Time-Frequency EEG Propertices for Human Personality Features Discover

2018 
We propose algorithm and analyze the spatio-temporal and time-frequency structure of multichannel EEG in humans completing Schulte tables and identified three groups of subjects, according to the scenario of neural activity. We believe that the results are of the great interest for testing and diagnostics. It allows to create automatic intelligent systems for estimation features of the human personality.
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