ALGORITHMIC AND PROGRAM SUPPORT FOR OPTIMIZATION OF INTERVAL HYPOXIC TRAINING MODES SELECTION OF PILOTS
DOI:
https://doi.org/10.18372/1990-5548.52.11882Keywords:
Interval hypoxic training, mathematical model of the respiratory system, secondary tissue hypoxia, self-regulation of the respiratory systemAbstract
A complex of mathematical, algorithmic and software tools for optimization of the choice of interval hypoxic modes training is presented in this article for flying personnel. The work is aimed at increasing of adaptation, efficiency and resistance of flight crew members. The basis of the mathematical model is the mass transfer and mass exchange of oxygen, carbon dioxide and nitrogen in human organism. There is suggested the solution of problem of tissue blood circulation predictions as result of conflict situation that occurs in human organism during internal and external disturbances between executive organ tissues and self-regulation tissues. The distribution of systemic blood circulation by tissues is realized in accordance with the hypoxic or hypercapnic stimulus, therefore the problem is formulated as a quadratic programming problem. An iterative procedure for studying and estimation of the gas state of respiratory system is suggested using an interval hypoxic training, which can contribute to the professionalskill improvement of flight crews, their physical and psychological efficiency and readiness to perform complex educational and combat tasks in limited space and conditions of unfavorable external environ-
ment.
References
F. I. Popov, A. I. Maracushin, and N. N. Breslavetz, “Physical preparation of fly crews – component of flies safety,” Physical upbringing of students, no. 3,
pp. 76–79, 2011 (in Russian).
Aviation medicine. Edited by N. M. Rudny, P. V. Vasiliev, and S. A. Gozulova. Moskow, Medicine, 1986, 580 p. (in Russian).
P. N. Makarov, Physical preparation of pilots for military aviation. Мoskow, Yu. A. Gagarin ВВА, 1979, 208 p. (in Russian).
. N. I. Aralova. “Complex of information support for investigation of operators reliability work with continuous interactive systems in conditions of increased
tension of situation,” Science and innovation, vol. 12, no. 2, pp. 15–25, 2016. (in Ukrainian).
Yu. N. Onopchuk, P. V. Beloshitsky, and N. I. Aralova, “To problem of reliability of functional organism systems,” Cybernetics and computing technique,
Kyiv, Glushkov Inst of Cubernetics, NASU, Is. 122, pp. 72–82, 1999. (in Russian).
A. Z. Kolchinskaya, “Interval hypoxic training in sport of highest achievements,” Sportive medicine, no. 1, pp. 9–25, 2008. (in Russian).
A. Z. Kolchinskaya, “Mechanisms of interval hypoxic training action,” Interval hypoxic training. Efficacy, mechanisms of action, Kyiv, 1992, pp. 107–113. (in
Russian).
Secondary tissue hypoxia. Edited by A. Z. Kolchinskaya. Kyiv, Naukova dumka, 1983. 253 p. (in Russian).
Yu. N. Onopchuk. “Homeostasis of functional respiratory system as result of information interaction: internal system and system-media ones,” Bioecomedi-
cine. United information space. Kyiv, Naukova dumka, 2001, pp. 59–81 (in Russian).
Yu. N. Onopchuk, “Imitation modeling of process of external respiration control and blood circulation in human organism,” Cybernetics, Kyiv, no. 6, pp. 152–
, 1979. (in Russian).
Yu. N. Onopchuk, “About one model of blood flow distribution in human tissues and organism under the changed physical loading,” Cybernetics and compu-
ting technique, Kyiv, Glushkov Inst of Cubernetics, NASU, Is. 48, pp. 55–59, 1980. (in Russian).
L. S. Pontriagin, V. G. Boltiansky, and R. V. Gamkrelidze. Mathematic theory of optimal processes. Moskow: Fizmatgiz, 1961. 391 p. (in Russian).
A. V. Bytz, D. I. Marchenko, and Yu. N. Onopchuk, “Means for prognosis of tissue blood flows in organism,” Computer mathematic, no. 2, pp. 77–84, 2004.
(in Russian).
B. N. Pshenichnyy and Yu. M. Danilin, Numerical methods in extreme tasks. Moskow, Nauka, 1975. 320 p. (in Russian).
Yu. N. Onopchuk, D. I. Marchenko, A. V. Bytz, and T. A. Semchik, “Prognosis of regional blood flows and mathematical methods for investigation of me-
chanisms for control of blood circulation system,” Dopovidi NAS Ukraine, Kyiv, no. 7, pp. 71–76, 2002.
(in Russian).
N. I. Aralova, “Information technologies for decision making support during the rehabilitation of sportsmen of sportive single combats,” Problems of
control and informatics, no. 3, pp. 160–170, 2016. (in Russian).
N. I. Aralova, O. M. Klyuchko, V. I. Mashkin, and I. V. Mashkina, “Mathematical model for research of organism restoring for operators of continuously
interacted system,” Electronics and control systems, Kyiv, vol. 49, no. 3, pp. 100–105, 2016.
Downloads
How to Cite
Issue
Section
License
The scientific journal “Electronics and control systems” adheres to the principles of Open Access and provides free, immediate, and permanent access to all published materials without financial, technical, or legal barriers for readers.
All articles are published in Open Access under the Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Copyright
Authors who publish their works in the journal “Electronics and control systems”:
-
retain the copyright to their publications;
-
grant the journal the right of first publication of the article;
-
agree to the distribution of their materials under the CC BY 4.0 license;
-
have the right to reuse, archive, and distribute their works (including in institutional and subject repositories), provided that proper reference is made to the original publication in the journal.
