N.A. Korenevsky Dr.Sc. (Eng.), Professor, Southwest state university, Kursk. E-mail: kstu-bmi@yandex.ru A.N. Shutkin Ph.D. (Phys.-Math.), Voronezh Institute of the State Fire Service, Voronezh. E-mail: kstu-bmi@yandex.ru E.A. Boytsova Ph.D. (Eng.), Associate Professor, Head of the Department of Mathematics, Southwestern State University, Kursk. E-mail: kstu-bmi@yandex.ru L.V. Starodubtseva Ph.D. (Eng.), Associate Professor, Department Biomedical engineering, Southest state university, Kursk. E-mail: kstu-bmi@yandex.ru

The paper deals with the classification of functional states and to assess their level of risk as indicators of human development and psychosomatic diseases using measurement theory of latent variables. The basis of this theory lay G. Rasch model. Decisions on the classification of functional states and to assess their level is taken with use of elements of the theory of fuzzy logic of decision-making. The paper proposes a method allowing to obtain quantitative estimates of the flow of synchronicity electrophysiological processes, supplementing the information. The method is based on observations of the signals at fixed time intervals to release them reference points minima, maxima, inflection, etc. The paper shows how using the model can be synthesized G. Rush fuzzy decision rules to classify and assess the level of functional states of humans. In a series of specially conducted surveys it was shown that the quantitative characteristics of the level of emotional stress and fatigue can be used as elements of fuzzy decision rules in tasks of forecasting and early diagnosis of psychosomatic diseases.

 

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