The decision model of identification of significant diagnostic characters (order parameters) is presented within using of neural network decision model for binary classification (division of a group of subjects being in two different ecological and psychic conditions). Similar problems are the basis of cognitive and heuristic activity of a human who has to identify order parameters in any process and analysis of any events. We have shown that the possibility of order parameters identification (significant хi) is low in a small number of iterations (p<100) with initial weight characters xio based on uniform distribution (xio from an interval (0,1)). If p increases (p>100, p>1000), accuracy of order parameters identification increases too. Within the frameworks of the model there is a hypothesis on the connection of reverberation in hippocampus with efficiency of a heuristic brain activity.
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.
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
To solve the problems of gerontology this review presents the detailed description of the choices of the many signs as the most significant for the assessment of functional systems of the organism. The authors have justified the expediency to abandon the deterministic and stochastic approaches to complex systems - complexity. The possibilities of chaos theory and self-organization systems have been described in detail. The review provides a description of the capabilities of nano-emulsion, neuro-computing, method of calculation quasi-attractors for the solution of problems of system synthesis to identify order parameters. The authors presented data on the use of these methods for different age groups of women Khanty living in the North of Russia. The necessity to increase the number of iterations (settings) neuro-motor to increase the precision of separation of the samples was established. The authors proposed to implement the methods of chaos theory and self-organization in the practice of gerontology.
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.
The article is devoted to the basis of the five principles that characterize complex systems, systems of the third type. The authors provide the opportunities caused from the solutions of the equations of kinematics and dynamics. Uncertainty, unpredictability and uniqueness of complex systems, which include the human body, are demonstrated. The first principle, the postulate of synergetics, is associated with homogeneous systems in which the dynamics of the behavior of the system as a whole and not its individual elements, - is studied. The second principle of the organization of the systems of the third type - the glimmering property, - it is impossible to repeat the motion trajectory in phase space. This position is confirmed by the tremorogramm analysis. The third and fourth principles are evolution and teleological motion vectors of such systems to the final state, de-scribed not a point, but the area of phase space, quasi-attractor. The fifth property is the possibility of the output coordinates of the state vector to outside at 3, 10 and more Sigma, which ensures the survivability of biological systems.
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.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.