Stabilometric diagnosis of ataxia
In order to develop an automated system of differential diagnosis of different types of ataxia studied computer stabilography method using the principle of vector analysis statokineziogramm and create predictive mathematical model. Survey of 217 people, including 196 patients with labyrinthine, cerebellar and sensitive ataxia and 21 healthy subjects showed that the additional parameters of vector analysis stabilographic information allow fully and comprehensively characterize the dynamic process of maintaining human upright posture. Appropriate method of forecasting the form of ataxia, based on data stabilographic information for automated computer differential diagnosis of different types of ataxia, as well as a screening assessment of normal function of the equilibrium is to make mathematical models "classification tree".