FIELD: medicine.
SUBSTANCE: invention relates to medicine, namely to digital processing and analysis of electroencephalogram data, and can be used to determine the level of concentration based on temporal data of electroencephalograms. Method is characterized by the fact that operators are presented ambiguous images of the Necker cube with different values of face contrast for a short period of time, each of which lasted from 1.0 to 1.5 seconds, using the sensors, EEG signal is recorded and a continuous wavelet transform is performed in the time-frequency analysis unit; for each presentation, analyze the changes of energy in the alpha and beta frequency ranges at a 1-second interval before the presentation and at the moment of presentation of the stimulus; in the block of calculation of the control characteristics there are two types of events: event is classified as an act of focusing on the stimulus at the location of the maximum component of the wavelet spectrum before the presentation of the stimulus in the alpha range, and at the time of presentation in the beta range; event is classified as an act of dispersal at the location of the maximum component of the wavelet spectrum before the stimulus is presented in the beta range, and at the moment of presentation in the alpha range, then the level of concentration of attention is defined as the difference between the amount of these events averaged over all EEG channels.
EFFECT: invention provides reliable detection of patterns of electrical activity of the brain associated with the ability of the operator to concentrate on the task in real time, as well as an assessment of the level of operator concentration on solving cognitive tasks.
1 cl, 2 dwg
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Authors
Dates
2018-12-18—Published
2018-02-26—Filed