Affiliation:
1. Moscow State University of Psychology and Education
Abstract
The technology of creating a mobile complex for registration of the brain electrical activity, for recording an electroencephalographic signal with one channel, is considered. Previously, technological problems associated with insufficient sensitivity and selectivity in the sense of signal-to-noise ratio did not allow the use of electroencephalographic activity recording systems based on the so-called dry electrodes in practical applications. At the same time, even with a small number of leads, such signals, when recorded, for example, from the visual cortex localized in the occipital region of the brain can be extremely informative in the context of the operator activity analysis and other types of human activity, in which arbitrary control of attention plays an essential role. This paper considers the experience of creating a mobile autonomous complex for recording such signals for the tasks of monitoring the characteristics of the operator's activities in scientific applications. The design features of such a device, created based on Node MCU technology, which is gaining wide distribution in embedded systems, proprietary narrowband amplifiers of the electric signal and dry electrodes created by industry in the last decade, are described. Some examples of practical application of such a complex are given. The most promising directions for the development of technology are discussed.
Publisher
Federal State-Financed Educational Institution of Higher Education Moscow State University of Psychology and Education
Reference6 articles.
1. Brown, E. (2014). Web Development with Node and Express. Germany: O'Reilly.
2. Greshnikov I.I., Kuravsky L.S., Yuryev G.A. Principles of Developing a Software and Hardware Complex for Crew Intelligent Support and Training Level Assessment. Modelirovanie i analiz dannykh = Modelling and Data Analysis, 2021. Vol. 11, no. 2, pp. 5â30. DOI: https://doi.org/10.17759/mda.2021110201 (In Russ., аbstr. in Engl.).
3. Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I., Greshnikov I.I., and Polyakov B.Y. An approach to diagnostics based on video oculography data analysis. â The British Institute of Non-Destructive Testing, 17th International Conference on Condition Monitoring and Asset Management, June 2021.
4. Kuravsky L.S., Yuryev G.A., Zlatomrezhev V.I., Yuryeva N.E. Assessing the Aircraft Crew Actions with the Aid of a Human Factor Risk Model. Eksperimentalânaya psikhologiya = Experimental Psychology (Russia), 2020. Vol. 13, no. 2, pp. 153â181. DOI: https://doi.org/10.17759/exppsy.2020130211.
5. Niedermeyer E. Electroencephalography: Basic Principles, Clinical Applications, and Related Fields / Niedermeyer E., da Silva F.L.. â Lippincott Williams & Wilkins, 2004.