A METHOD FOR STUDYING CHANGES IN THE PSYCHOPHYSIOLOGICAL STATE OF STUDENTS FROM SOUTHERN REGIONS STUDYING IN THE NORTHERN REGION, USING MOTOR REFLEX CONTROL AND MACHINE LEARNING ALGORITHMS
K. I. Budnikov1, A. S. Potapova1, A. N. Savostyanov2,3, A. G. Karpova4
1Institute of Automation and Electrometry, Siberian Branch, Russian Academy of Sciences, Novosibirsk, Russia
2Scientific and Research Institute of Neurosciences and Medicine, Novosibirsk, Russia
3Federal Research Center, Institute of Cytology and Genetics, Siberian Branch of the Russian Academy of Sciences, Novosibirsk, Russia
4M.K. Ammosov North-Eastern Federal University, Yakutsk, Russia
Keywords: South-to-North relocation, motor reflex control, stop-signal paradigm, machine learning
Abstract
The article examines variations in the psychophysiological state of migrants who have moved from regions with a southern climate to permanent residence in the Far North, using international students studying in Russia's northern region as an example. This type of move is accompanied by a stress response, which arises from a negative perception of the new environment. Therefore, monitoring changes in the psychophysiological state of migrants is necessary. For this purpose, it is proposed to assess subjects' motor control abilities using a stop-signal paradigm, electroencephalogram monitoring, and machine learning methods for processing the collected data. A comprehensive method for analyzing the obtained information is proposed to determine anxiety using biophysical markers.
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