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DOI: https://doi.org/10.31071/kit2019.15.12


Inventory reference ISSN 1812-7231 Klin.inform.telemed. Volume 14, Issue 15, 2019, Pages 131-140


Author(s) M. L. Kochina1, A. A. Chernozub1, O. V. Kochin1, R. G. Adamovich1, I. K. Stefiuk1, O. G. Firsov2


Institution(s)

1Petro Mohyla Black Sea National University, Mykolaiv, Ukraine

2LLC "ASTER-IT", Kharkiv, Ukraine


Article title Approaches to predicting changes in the functional state of athletes specializing in hand-to-hand combat using fuzzy logic


Abstract (resume)

Introduction. Assessing the functional state of athletes at rest and predicting their changes in the dynamics of training and competition require the development of methods and models which allow obtaining and processing information, calculating relevant indicators, classifying states and developing prevention and rehabilitation activities.

The purpose of the work was to scientifically substantiate and develop the individual models of prognosis of functional state changes in athletes specializing in hand-to-hand combat, under the influence of test training load.

Research results. Fuzzy logic was used to construct mathematical models for predicting changes in functional state of athletes under the influence of training loads. In the first model we used indicators of statodynamic stability for predicting changes in the functional state of athletes, in the second model we used indicators of the central nervous system. Verification of the assessment of the functional state of athletes was performed according to the indicators of heart rate variability.

Conclusion. The models of prognosis, based on fuzzy logic and psychophysiological indicators, allowed predicting changes in the functional state of athletes specializing in hand-to-hand combat, under the influence of training load with an overall accuracy of 95,5%.


Keywords Model of prognosis, Fuzzy logic, Psychophysiological indicators, Heart rate variability, Hand-to-hand combat


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