Human ecology deals with a very important issue of life expectancy of indigenous people and new comers of the northern parts of the Russian Federation. The faster the northern territories are developed economically and industrially, the higher importance of prolongation of working age of new comers in the Khanty-Mansiysk Autonomous Area - Ugra and the Yamal-Nenets Autonomous Area is. There are four possible variants of new comers' life prolongation. Through the example of three age female groups of indigenous population, there has been considered the problem of dynamics of changing heart rates. In phase space of states, increased volumes of quasiattractors are equal to intensive physical activity. It has been proposed to use the regularity of these volumes' decrease for assessment of human aging dynamics in the North.
Binary classification offers the procedure of identification of more significant x i diagnostic features (order parameters) for the systems being in different conditions and divided by a neural emulator. Ranking of x i is realized by many repetitions (p > 100) of problem solving of binary classification by a neural emulator at initial set of feature weights w j io where j is an iteration number (i = 1, 2 ... p) from the interval (0, 1) with an uniform distribution. Accuracy of identification increases by increased p (p > 1 000, p > 10 4), that is demonstrated on parameters of cardiovascular system of groups of people working at night shifts.
We have studied behavior of the human cardiovascular system vector by applying of methods of the chaos-self organization theory and methods of classical statistics. In the study, we observed Khantys, the indigenous people of Northern Russia. Using the methods of the chaos-self organization theory, we have shown differences in the quasi-attractors’ parameters of the human cardiovascular system vector of the Khanty people. We have compared the obtained results with the results calculated with classical statistics.
This article presents a comparative analysis of the parameters of HRV students who are indigenous and non-indigenous residents of Yugra. Analysis was carried out carried out by multiple comparisons of three age subgroups and by multivariate analysis with the calculation of inter-cluster distances. The differences in the dynamics of age-related changes of Yugra schoolchildren reveals distinctive trend parameters of heart rate variability between indigenous and non-indigenous representatives of North. In particular, it revealed a higher adaptive capacity in Aboriginal representatives in comparison with the migrant population. The maximum divergence of parameters of the body boys observed in the older age group.
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