Modern Hardware and Software Solution for Identification of Abnormal Neurological Movements of Patients with Essential Tremor

Because of the real physical movements, associated with tremor, which is very small rapid fluctuations that vary greatly in amplitude and frequency, reliable measurements of motion characteristics and the interpretation of the results of such measurements are important for the diagnosis of diseases. Increasing of amplitude and changing the frequency and form of oscillation in relation to the norm (frequency and amplitude of physiological tremor) are signs of disturbance of central and peripheral neural mechanisms of regulation of movements. Program analysis of these parameters is important for understanding the role of dysfunction of individual structures of the brain in the processes of motion management, and for the clinic in the aspects of early detection, more accurate diagnosis of motor disorders, the choice and correction of optimal treatment methods associated with the selection of effective therapy. The analysis of tremor forms has great importance in neurological practice, in particular, in the diagnosis of Parkinson's syndrome. Computerized analysis methods are extremely accurate and effective in assessing the degree of tremor of patients. Mathematical modeling allows obtaining frequency characteristics, amplitude of oscillation, deviation from normal state, etc. Development of mathematical models and methods, means of identification greatly facilitate the work with patients; make it possible to assess the degree of disease with a single and objective side. Software and hardware for the determination and diagnosis of tremor is an important application of software engineering for medical and public benefit purposes. Use of the latest design techniques, the development of architectures and software models, artificial intelligence contributes to the growth of the role of diagnostic automation in modern research and therapeutic measures.