Computer Research and Modeling
RUS  ENG    JOURNALS   PEOPLE   ORGANISATIONS   CONFERENCES   SEMINARS   VIDEO LIBRARY   PACKAGE AMSBIB  
General information
Latest issue
Archive

Search papers
Search references

RSS
Latest issue
Current issues
Archive issues
What is RSS



Computer Research and Modeling:
Year:
Volume:
Issue:
Page:
Find






Personal entry:
Login:
Password:
Save password
Enter
Forgotten password?
Register


Computer Research and Modeling, 2017, Volume 9, Issue 2, Pages 297–310
DOI: https://doi.org/10.20537/2076-7633-2017-9-2-297-310
(Mi crm64)
 

This article is cited in 1 scientific paper (total in 2 paper)

COMPUTER SCIENCE IN SPORT

Mathematical model of respiratory regulation during hypoxia and hypercapnia

A. V. Golova, S. S. Simakovab

a Moscow Institute of Physics and Technology, 9 Instituskii Lane, Dolgoprudny, 141701, Russia
b Institute of Numerical Mathematics RAS, 8 Gubkina st., Moscow, 119333, Russia
Full-text PDF (265 kB) Citations (2)
References:
Abstract: Transport of respiratory gases by respiratory and circulatory systems is one of the most important processes associated with living conditions of the human body. Significant and/or long-term deviations of oxygen and carbon dioxide concentrations from the normal values in blood can be a reason of significant pathological changes with irreversible consequences: lack of oxygen (hypoxia and ischemic events), the change in the acid-base balance of blood (acidosis or alkalosis), and others. In the context of a changing external environment and internal conditions of the body the action of its regulatory systems aimed at maintaining homeostasis. One of the major mechanisms for maintaining concentrations (partial pressures) of oxygen and carbon dioxide in the blood at a normal level is the regulation of minute ventilation, respiratory rate and depth of respiration, which is caused by the activity of the central and peripheral regulators.
In this paper we propose a mathematical model of the regulation of pulmonary ventilation parameter. The model is used to calculate the minute ventilation adaptation during hypoxia and hypercapnia. The modelis developed using a single-component model of the lungs, and biochemical equilibrium conditions of oxygen and carbon dioxide in the blood and the alveolar lung volume. A comparison with laboratory data is performed during hypoxia and hypercapnia. Analysis of the results shows that the model reproduces the dynamics of minute ventilation during hypercapnia with sufficient accuracy. Another result is that more accurate model of regulation of minute ventilation during hypoxia should be developed. The factors preventing from satisfactory accuracy are analysed in the final section.
Respiratory function is one of the main limiting factors of the organism during intense physical activities. Thus, it is important characteristic of high performance sport and extreme physical activity conditions. Therefore, the results of this study have significant application value in the field of mathematical modeling in sport. The considered conditions of hypoxia and hypercapnia are partly reproduce training at high altitude and at hypoxiaconditions. The purpose of these conditions is to increase the level of hemoglobin in the blood of highly qualified athletes. These conditions are the only admitted by sport committees.
Keywords: hypoxia, hypercapnia, central regulator, periphery regulator, simulations.
Received: 20.12.2016
Revised: 05.02.2017
Accepted: 03.03.2017
Document Type: Article
UDC: 519.8+519.6+004.942
Language: Russian
Citation: A. V. Golov, S. S. Simakov, “Mathematical model of respiratory regulation during hypoxia and hypercapnia”, Computer Research and Modeling, 9:2 (2017), 297–310
Citation in format AMSBIB
\Bibitem{GolSim17}
\by A.~V.~Golov, S.~S.~Simakov
\paper Mathematical model of respiratory regulation during hypoxia and hypercapnia
\jour Computer Research and Modeling
\yr 2017
\vol 9
\issue 2
\pages 297--310
\mathnet{http://mi.mathnet.ru/crm64}
\crossref{https://doi.org/10.20537/2076-7633-2017-9-2-297-310}
Linking options:
  • https://www.mathnet.ru/eng/crm64
  • https://www.mathnet.ru/eng/crm/v9/i2/p297
  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
    Computer Research and Modeling
    Statistics & downloads:
    Abstract page:434
    Full-text PDF :220
    References:43
     
      Contact us:
     Terms of Use  Registration to the website  Logotypes © Steklov Mathematical Institute RAS, 2024