Abstract
The aim of this study was to develop an automated system for differential diagnosis of various types of ataxias method of computer stabilography using the principle of vector analysis statokinesigram and create predictive mathematical models on the basis of the mathematical method of analysis of tree classifications. In this study, 217 people were included, including 196 patients and 21 healthy subjects. Patients with labyrinth, cerebellar and sensitive ataxia were studied. Additional parameters of vector analysis of stabilographic information allow fully and comprehensively characterize the dynamic process of maintaining a person's vertical posture. The analysis of stabilograms was reduced, basically, to the study of their amplitude-frequency characteristics by means of various methods of statistical processing, including spectral analysis. Analysis of the frequency of oscillations made it possible to identify slow (respiratory, cardiac) and fast waves, which characterize the contractile activity of skeletal muscles. In the course of the study it was revealed that the artificial division of the movement of the human body into oscillations in the frontal and sagittal planes led the researcher away from understanding the essence of the process of movement of the human body while maintaining a static equilibrium. An adequate method of predicting the type of ataxia based on the data of stabilographic information for performing automated computer differential diagnosis of various ataxia types, as well as screening the normal equilibrium function, is the compilation of mathematical models of „classification trees“.
Published Version
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