The problem of one-type uncertainty is solved when cardiovascular system parameters in hypertensive patients undergoing physiotherapy aren’t differentiated by stochastics, but these differences are clearly revealed by the methods of neurocomputing and calculation of parameters of quasi-attractors. Simultaneously, the solution of system synthesis problem is possible, i.e. identification of more important diagnostic characters xi from the whole set of state vector of cardiovascular system x(t) in hypertensive patients. Efficiency of physiotherapy is estimated at two stages of course of treatment: in the initial state (initial physiotherapy) and after the termination of course of treatment. The dynamics of motion of quasi-attractors in phase space of states in hypertensive patients is shown. Thus, the problem of elimination of one-type uncertainty in studying the effi-ciency of curative measures is solved.
Attempts to describe the behavioral dynamic model of the functional systems of the human body has traditionally been based on models of periodic and quasi-periodic processes (breathing, cardiac work, brain biopotentials, etc.). The paper assumes a new approach to the description of the voluntary or involuntary periodic or quasi-periodic motions and other dynamic processes (normal and pathological) in human body. It is shown that the norm is often chaotic behavioral dynamics of the state vector of the human body and the periodic or stationary modes of dynamics are typical of pathology, while in medicine for a long time the views were diametrically opposite. The paper presents the application of calculation method of quasi-attractors in estimation of biomechanical processes (sighting or Parkinson’s disease). The informational significance of the method is shown.
So far, the fact that statistically significance differences between samples (sets of parameters of the body xi) before the treatment and after the treatment led to the conclusion of non effective treatment. However, in the framework of the theory of chaos and self-organization the assessment of the significant differences can be carried out without going through statistical methods, based on the analysis parameters of quasi-attractors or using neural emulators. In this report the authors present examples of uncertainties of the 1st kind in regenerative medicine and introduce new technologies to resolve these uncertainties. A procedure for finding differences between samples and determining the parameters of the order (the most important diagnostic features) based methods neurocomputing. The effectiveness of this approach in the evaluation of the effectiveness treatment effects of abnormalities in the body during acute stroke in a kinesotherapy is presented. The authors proved ineffective stochastics and opportunities neurocomputing in the task of system synthesis
Evaluating the effectiveness of treatment of a disease (in this paper is kinesotherapy treatment of acute cerebrovascular accidents and physical therapy for hypertension in the North of the Russian Federation) is traditionally carried out by the results of the monitoring of relevant parameters of the disease in patient before treatment and after treatment measures. However, it is quite often that with multi-parameter monitoring of the patient is not all of the observed parameters xi may show substantial (in the framework of stochastic criteria) change of parameters of the entire state vector xi of the human body in the form x = x (t) = (x1, x2,..., xm)T where m is dimension of the phase space of states. In such cases there is an uncertainty of type 1 (sort) when the stochastics show low efficiency. Then it is supposed that there is a efficiency of treatment, otherwise there is a need to find other methods allowing more accurate measurement of real change of xi within the course of treatment. We show two ways of solving the problem of uncertainty of 1st type on the basis of the calculation of quasi-attractors of the state vector of the human body.
The basis of the third global paradigm of theory of chaos and self-organization, which focuses on the assessment of the chaotic dynamics of the state vector of complex biological systems using multi-dimensional phase space of states. The paper presents a comparative description of the effectiveness of the traditional stochastic methods and methods of calculating the parameters of quasi-attractors. It is showed the difference in efficiency (low) of stochastics, which leads to the uncertainty of the 1st kind, and methods of multidimensional phase spaces, providing the solution of system synthesis. Volumes quasi-attractors with kinesotherapy in patients with acute stroke increased 5.3 times in the initial stage of treatment, and then falling off sharply. It is discussed the need for parallel applications and stochastic methods and methods of theory of chaos and self-organization in the study of complex medical and biological systems.
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