The review presents the results of a long-term collaboration of three research teams from Surgut, Tula and Moscow, which carried out the development of innovative methods of analyzing, processing and information management to ensure the adoption of optimal solutions and to improve the efficiency of the health system. Research teams have created an intelligent system to work with semi-structured data arrays. Creating the theory of chaos and self-organization of systems, based on compartment and cluster approach, is justified. It was shown the possibility of controlling the functional systems of the human body by methods of regenerative medi-cine. The authors have developed a system of databases formation and intelligent decision-making and imple-mentation, proving the versatility of neural network approach and adaptation it to the information processing, obtained in the course of medical research. The vastness of the received information has led to the brevity of presentation with a sufficient number of references to the realized works.

A clinical medicine usually uses the amplitude-frequency characteristics of recorded biopotentials. The paper presents still chaotic dynamics, which takes place for the autocorrelation function A(t) and statistic function of distribution fix). It is proposed two new approaches for estimation of parameters of electroencephalograms. The first is based on the construction of the matrix of pairwise comparisons of recorded samples of brain potentials in subjects in different physiological (mental) states: with photostimulation and without it. The second method is based on calculating the parameters of quasi-attractors, which are built on the plane in the coordinates x1=U(t) - a function that changes due to registration of biopotential in current point and x2=dx1/dt - rate of change of x1. The quasi-attractors in this two-dimensional phase space are quantitatively different options for patients (epilepsy) and healthy subjects. It is possible to construct a three-compartmental model quasi-attractor in the phase space of states, which is also discussed. It was demonstrated the stochastic of function fix) for normal and pathological patients. It was proved the nonfictions of entropy parameter for the EEG modeling.

It is evident that requirement of medical personification includes two procedures: individual (with uninterrupted procedure of human organism state measurement) diagnostics and the second part which is connected with uninterrupted control of the efficiency of medical treatment and measurements of human organism parameters. According to classic deterministic-stochastic approaches we don´t have any possibility for realization of the basic principle in medicine because every human organism has its own specific features. We conduct the diagnostics according to beha-vior of state vector of human organism in phase space of states according to every coordinates of human´s state vector and with calculation of quasiattractors. It was presented new bioinformational methods and software for calculation of quasiattractors parameters for dissolving such contradic-tions between deterministic-stochastic medicine and the use of theory of chaos self-organization where the state vector of human organism demonstrates uninterrupted movements. The practical results of such procedure are also presented according to the theory of chaos self-organization.

The identification of parameters of the cardio-vascular system has not only medical but also social and economic aspects. The work affects the age-related aspects of the state of the cardio-vascular system at different age groups of the female population of Ugra. It was demonstrated the increase in aboriginal and migrant populations of sympathetic activity status autonomous nervous system with age, but a separate component - cardiointervals - operates in different ways in these two groups. The volume of the quasi-attractors for the cardiointervals exponentially decreases in Khanty with age. In the immigrant population an increase in the area of quasi-attractors for parabolic type is observed. The increase with age is a poor prognosis for longevity and the age.

Attempts to describe complex biological systems (complexity) in terms of modern mathematics and physics continue. However, it is now evident that complexity cannot be the object of modern science because of their continuous change in the parameters and the absence of arbitrary repetition of initial parameters x (to) of any complexity. This article presents the the arguments of lack of capacity modeling of complex biophysical systems under deterministic and stochastic approaches due to the constant chaotic change of the state vector parameters x = x(t) = (x1,x2....,xm)Tof any complex biosystem (complexity). At any point of time h, the chaotic dynamics of homeostasis in signals, such as tapping tremors, electromyograms, neurograms, cardiograms, electroencephalograms, and other biochemical recordings, can be observed. During constant and chaotic changes of x(t) (i.e., dx/dteQ), the amplitude-frequency characteristics (AFC) and the autocorrelation functions A(t) constantly change. Therefore, the mixing property fails and the Lyapunov exponents can chaotically and randomly change signs. Chaos of complex biosystems differs from chaos of physical systems primarily due to the irreproducible initial value x(to). There are two methods for studying such systems: a stochastic method for processing random samples based on a matrix of pairwise comparisons and a computing method that utilizes quasi-attractor parameters, Vg for x(t), in the phase space of states. Here, such calculations are presented for biomechanics and electrophysiology.

There are several criteria in science for stationarity (stability) of different dynamical systems. The stationarity in physics, engineering and chemistry is being interpreted as matching the requirements of dx/dt=0, where x=x(t) - is the vector of system’s state, or the equality of distribution functions f(x) for different samples which characterize the system. However, in case of social or biological systems the matching of the requirements is impossible and there is a problem of specific assessment of stationary regimes of complex systems of the third type. The possibility of studying of such systems within the frame of deterministic chaos, stochastic approach and theory of chaos and self-organization is being discussed. This article explains why I.R. Prigogine refused from materialistic (in fact deterministic) approach in the description of such special systems of third type and tried to get away from the traditional science in the description of biological systems.

The review highlights the issues of classification of sports, their detailed description, based on available information about the functioning of organs and systems of the human body during sports activities. Features training and competitive loads on their nature and intensity, as well as the features of the actual load and the perfect plan of the theoretical model were identified. Aerobic, anaerobic and mixed load, lactate threshold, oxygen debt, and energy consumption were identified and characterized. The rest activities (active, passive and combined) as well as the typology of rest were described. The authors found a relationship between fatigue and rest with the nature of the adaptation processes.

Accoding to new third paradigm (which is based on the calculations on calculation of quasiattractor parameters of human body state vector) we are presented formal models and methods of calculation of quasiattractor moving in the phase spaces of state. It is shown that a single therapeutic procedure may not demonstrate significant changes of the parameters of the state vector x(t) in phase m-dimensional space with the positions of the stochastic approach. However, new methods of chaos theory-self-organization (TCS) will always show such changes, if to count or change the volume VX of quasiattractor, or the coordinates of its center HS and speed υ movement of this center. Examples of this approach in medicine and human ecology, when stochastic is not able to detect differences between samples, and new methods are demonstrated. In this case, it is advisable to use the computer in the mode of multiple iterations or calculate parameters of quasiattractors and values approach their centers in the phase spaces of States. It is essential that such methods should be used in the evaluation

The paper shows the feasibility of applying the method of multi-dimensional phase space as a quantitative measure for the evaluation of chaotic dynamics on the example of the muscles (flexor of the little finger). The method of multi-dimensional phase space was used. In the study and modeling of complex biological objects (complexity) there is the possibility of introducing traditional physical methods in biological research and new methods based on the chaos theory and self-organization. As a measure of the state of the neuromuscular system of the person (weak muscle tension and strong, almost the maximum force), the authors used quasi-attractors volumes of multidimensional phase space. This enables identification of the actual measurements of the parameters of the functional state with weak muscles (Fi = 5 daN) and strong (Fi = 10 daN) static stress. The authors built a timebase signal received from the electromyograph and the autocorrelation function A(t) of signal. A biomechanical analysis of the state of the system is carried out on the basis of comparison of the volume VG quasi attractor, as well as on the basis of the analysis of the Shannon entropy E. Volume of quasi attractor VG displacements under low load is slightly less than the same volume displacement VG with strong exertion of the muscles of the flexor of the little finger, exactly the same as the values of the Shannon entropy under a heavy load increases compared to the values obtained under low load the muscles.

To evaluate the effectiveness of treatment modalities in regenerative medicine is proposed to calculate the parameters of the center of quasi-attractors and the amount of change of the volume Vx. Knowing the duration of the therapeutic effects of T can determine the average velocity ν motion for quasi-attractor in phase space coordinates xi and largest relative change in the volume ν = (V2/V1)/T for the period of exposure to T. Examples of such kinematic changes in the short version (one-time fee for the period one procedure T = 40 min.) and prolonged exposure (rate of treatment Δt = 30 days). These two quantities are of diagnostic value in describing the features of the disease and the nature of thera-peutic effects on the patient. Assesses of effectiveness of the treatment on the basis of the rate of change of parameters quasi-attractors in the phase space of states are given.

This review focuses on spinal and central mechanisms of fatigue associated with the implementation of adaptation programs. The morpho-functional correlations of the moto-neurons activity of the spinal cord, the activities of the functional systems of the human body, neurotransmitter systems, serotonergic, dopaminergic and noradrenergic systems in the mechanisms of fatigue were considered. The phases of the process of adaptation to physical loads as well as cumulative training effect were identified. The authors have identified and described the participation of the autonomic nervous system, glucocorticoids and other hormones and mediators in long-term adaptation to physical loads, in the transition from carbohydrate to fat type of energy metabolism. The stages of disadaptation and re-adaptation to physical activities (a manifestation of stress, rate adaptation, cybernetic principles of homeostasis) have been identified and described. The two-circuit system homeostasis: the autonomic (controlling) and myocardial-hemodynamic (controlled) was demonstrated and an hierarchy of control has been defined.

Methods of classical statistics and the theory of chaos and self-organization studied the behavior of the vector of the cardiovascular system in groups of students trained and untrained in response to dosed physical stress .It was found that students without physical fitness indicators of cardio area quasi-attractors increased after exercise . The study had shown significant changes in the dynamics of the behavior of the parameters of functional systems of the human body compared to the stochastic approach based on the histogram and Shannon entropy . It is shown the feasibility of application of chaos theory, self-organization in the evaluation of the reaction of the cardiovascular system of the person on the dynamic exercise. As a measure of the cardiovascular system of the person (to load and after the load) used quasi-attractor motion of the state vector of the system in the two-dimensional phase space of states. Within the framework of the theory of chaos and self-organization may determine the parameters of the spacecraft for individual subjects and their groups to compare their chaotic dynamics in time or in the phase space of states.

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.

Pathology of the cardiovascular system significantly affects the operational period, and improvement in cardiovascular system always and definitely can provide the prolongation of life. So the study of differences in life expectancy between aboriginal and migrant female population living in the North of the Russian Federation is based on the state of the cardiovascular system. To study the dynamics of the parameters of the autonomic nervous system in female population of Ugra - Ob of the North of Russia, the authors used the method of cardiorythm registration. It is defined that parasympathetic division (parameter SIM) dominates over the sympathetic division (parameter PAR) of the autonomic nervous system in the youngest age group of women. The authors found diametrically opposite dynamics of PAR in two age groups: migrant population has a high initial value at a young age (12.5.a.u.) in comparison with the natives (10,6 a.u. source). However, in older age, these differences remain (7,84 a.u. and 6,87 a.u. respectively). Description of the dynamics of increase of the sympathetic and downs parasympathetic effect was produced in the framework of the model of Verhulst-Pearl, i.e., systems with saturation. However, the parameters of RR-intervals in the migrant population have a parabolic dependence.

According to new theory of chaos - self organization if was presented new paradigm of homeostasis and evolution. Numerical investigation of tremor, miogram, encephalograms, heart-rate, etc. proved the simultaneously changing of experimental results as dx/dt=0 for the special human state vector x(t) for different interval of time At. The statistical function of x(t) -fix) present the simultaneously changing of/(x). So the homeostasis seems as a stationary regime when the parameters of quasi-attractor are not change. The authors present the new interpretation of homeostasis and evolution for special systems with special dynamic of living system (hymen lodi special). Then the first place take the x(t) parameters of such special third type of system.

The present paper shows that the term “complexity” includes absolutely different notions than now it seems to be presented in modern science and philosophy. Postnon-classics has come to this new recognition too close, but, actually, it is a new recognition of uncertainty for systems of the third type (not deterministic and not stochastic). We introduce the interpretation of a type I uncertainty that implies that stochastic methods show systems identified, but methods of the theory of chaos and self-organization and neurocomputing show significant difference of target systems (processes). With specific examples presented uncertainty of type 1 and gives an idea of the uncertainty of type 2, when the distribution function f (x) for different samples are the same. At the same neuro-computers not only divides the sample, but also shows the order parameters. In this case, at the same time solve the problem of system synthesis, which in society is now very difficult to solve (the basic model of social relations now – it´s deterministic society).