Parameter Evaluation of Cardiovascular System in Schoolchildren Under the Conditions of Latitudinal Displacement

Abstract

In the conditions of Russian North recreation activity is usually carried out by means of latitudinal displacement from North to South and realization of health-related activity. Herein a regular question about of their effectiveness arises. Tradition statistic methods of parameter evaluation of the cardiovascular system (CVS) homeostasis of a person, in this case, show poor efficiency; often they do not show differences between the organism's state before and after the treatment. The aim of the research was to study the effect of latitudinal movements on the process of functional systems changes of children's organisms. Information on the indices state of cardiovascular system of schoolchildren was acquired by the method of pulseintervalography on the basis of the pulse oximeter "EL0KS-01". The CVS parameters of schoolchildren were analyzed in the process of latitudinal displacement (from north to south of the Russian Federation and vice versa). The result of the study showed that a two weeks' vacation in the south reduced the quasi-attractors' size of the vector state of children's organisms in the six-dimensional phase space of states (m = 6) and partially normalized the indices of their cardiorespiratory system. The volume of quasi-attractors (m = 6) after returning to Surgut decreased 2,3 times in boys and 4,7 times in girls in comparison with the state before leaving to the south. However, the reaction in girls was more expressed and persistent than in boys, who showed a partial return to their original state (before departure) after their return from the south. In fact, girls show an exponential decrease of quasi-attractors volumes, and boys - a parabolic type depending on VG from the type of stay (registration). Similar dynamics was observed in age-related changes of quasi-attractors volumes of cardiointervals of Khanty women (decrease in volumes with age) and newcomers (they had a parabola for quasi-attractors of cardiointervals). Conclusion: calculation of the parameters of CVS quasi-attractors shows a significant difference in all diagnostic parameters from the results of statistical processing of primary data.

The State of the Cardiovascular System Under the Action of Industrial Electromagnetic Fields

“…One of these methods is the use of artificial neural networks (ANNs). These ANNs can distinguish the sample and then the FTU can be allowed and the samples will differ [2,[14][15][16].…”

“…All physiology and biomedicine have now approached a certain threshold, after which the sensitivity of calculation methods should be increased and new methods for assessing changes in the parameters of not only CVS, but also other life support systems (including brain neural networks) should be created [10][11][12]. Within the framework of the new theory of chaos-self-organization (TCS), we have now shown the lack of statistical stability of samples of various parameters of the functions of the human body [1][2][3][6][7][8][9][10][11][12][13][14][15][16][17][18][19]. This is now referred to as the Eskov-Zinchenko effect (EES) [1-3, 5, 6, 13-16].…”

“…We conducted these studies for two aged groups in order to research the effects of both weak electromagnetic fields, and study possible age-related changes. It should be noted that age-related aspects (the influence of environmental factors, and electromagnetic fields) have been poorly studied in modern biomedicine [6,[12][13][14][15][16]. Now we are paying special attention to this problem, since the increase in the life expectancy of the visiting population in the North is an important issue of medicine in all countries accessing to the Northern Territories.…”

Models of uncertainty in the framework of compartment-cluster theory for research of instability biosystems

“…For example, we present a typical matrix of paired comparisons of samples of tremorograms (TMG), of many thousands of other matrices (similar) for tapping gram (TPG), cardiointervals (CI), electromyograms (EMG), electroneurograms (ENG), electroencephalograms (EEG) and other parameters xi(t) functions of the human body [16][17][18][19][20][21][22][23][24][25][26][27][28].…”

“…For EEG only, frequency pj, j + 1≤0.2. All these are very small values, they prove that the samples xi(t) are unique for the STT [20][21][22][23][24][25][26]. A basic problem arises: are there models within the DSS framework for describing EZE?…”