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Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)
The paper presents research on the use of the results of the analysis of signals of brain activity of students for decisionmaking in educational robotics. Signals of brain activity were obtained using electroencephalograms (EEG). Assessment of the state of the student was carried out on the basis of the multiscale entropy. The object of the study was a man aged 17 years who was diagnosed with focal (structural) epilepsy, mesial sclerosis on the left and focal cortical dysplasia of the leftdoi:10.2991/ahcs.k.191206.014 fatcat:mh2dqslk3vebxgceomrnhrmive