Software and Hardware Complex of Anthropomorphic Type Robot as an Assistant for a Teacher. Decision-Making Subsystem Using Multiscale Entropy Analysis of EEG Signals

DOI

10.2991/ahcs.k.191206.014How to use a DOI?

Keywords

Educational Robotics, Decision-Making, Artificial Intelligence, EEG Signal, Epilepsy, Acute Wave, Spike Wave, Rhythmic Slowdown, Multiscale Entropy, Visualization

Abstract

The paper presents research on the use of the results of the analysis of signals of brain activity of students for decision-making 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 left temporal lobe and a control group. Comparison of the results of entropy estimates was carried out in the form of topographic images. Topographic images of the surface of the head are obtained on the basis of a spherical spline. The study showed that multiscale entropy of EEG signals can be a useful tool in the classification of patients with epilepsy and the control group. It is anticipated that such an analysis will be useful for early detection of neurological changes. The use of multiscale entropy in educated robotics as a means of obtaining objective information will help increase objectivity in decision-making in the choice of educational technologies to improve the quality of the educational process.

Copyright

© 2019, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Tatyana V. Yakovleva
AU  - Ilya E. Kutepov
AU  - Anton V. Krysko
AU  - Mikhail Stepanov
AU  - Tatyana Yu. Yaroshenko
AU  - Nikolay P. Erofeev
AU  - Olga A. Saltykova
AU  - Maxim V. Zhigalov
AU  - Irina V. Papkova
AU  - Vadim A. Krysko
AU  - Nikolay M. Yakovlev
AU  - Antonina Yu. Karas
PY  - 2019
DA  - 2019/12/12
TI  - Software and Hardware Complex of Anthropomorphic Type Robot as an Assistant for a Teacher. Decision-Making Subsystem Using Multiscale Entropy Analysis of EEG Signals
BT  - Proceedings of the Fourth Workshop on Computer Modelling in Decision Making (CMDM 2019)
PB  - Atlantis Press
SP  - 78
EP  - 82
SN  - 2589-4900
UR  - https://doi.org/10.2991/ahcs.k.191206.014
DO  - 10.2991/ahcs.k.191206.014
ID  - Yakovleva2019
ER  -