Fuzzy Classification of Romberg Test Parameters Using Verified Database of Stabil-Metric Data

Abstract

The classification of statistically processed results of stabilographic researches on the basis of the Romberg test based on the application of the theory of fuzzy logic. The values of the Romberg test were analyzed according to the following stabilometric parameters: the average position of the pressure center, the area of the statokinesiogram, the LFS coefficient, the Romberg coefficient. Statistical analysis of the results in MS Excel allowed confirming the normal distribution law of the studied parameters. The fuzzy classification into categories pathology, cerebral palsy, deviations, and norm produced based on the results of the Romberg test is developed. A system of formulas is proposed for processing the results of experimental studies of the effectiveness of stabilometric tests. It is proposed to divide the class of cerebral palsy into sub-classes, for which it is necessary to expand the statistical base of research.