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Nonstationary Model of Oxygen Transport in Brain Tissue

The paper addresses the mathematical study of a nonstationary continuum model describing oxygen propagation in cerebral substance. The model allows to estimate the rate of oxygen saturation and stabilization of oxygen concentration in relatively large parts of cerebral tissue. A theoretical and nume...

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Autores principales: Kovtanyuk, Andrey E., Chebotarev, Alexander Yu., Botkin, Nikolai D., Turova, Varvara L., Sidorenko, Irina N., Lampe, Renée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369669/
https://www.ncbi.nlm.nih.gov/pubmed/32733594
http://dx.doi.org/10.1155/2020/4861654
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author Kovtanyuk, Andrey E.
Chebotarev, Alexander Yu.
Botkin, Nikolai D.
Turova, Varvara L.
Sidorenko, Irina N.
Lampe, Renée
author_facet Kovtanyuk, Andrey E.
Chebotarev, Alexander Yu.
Botkin, Nikolai D.
Turova, Varvara L.
Sidorenko, Irina N.
Lampe, Renée
author_sort Kovtanyuk, Andrey E.
collection PubMed
description The paper addresses the mathematical study of a nonstationary continuum model describing oxygen propagation in cerebral substance. The model allows to estimate the rate of oxygen saturation and stabilization of oxygen concentration in relatively large parts of cerebral tissue. A theoretical and numerical analysis of the model is performed. The unique solvability of the underlying initial-boundary value problem for a system of coupled nonlinear parabolic equations is proved. In the numerical experiment, the tissue oxygen saturation after hypoxia is analyzed for the case when a sufficient amount of oxygen begins to flow into the capillary network. A fast stabilization of the tissue oxygen concentration is demonstrated. The reliability of the results of the numerical simulation is discussed.
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spelling pubmed-73696692020-07-29 Nonstationary Model of Oxygen Transport in Brain Tissue Kovtanyuk, Andrey E. Chebotarev, Alexander Yu. Botkin, Nikolai D. Turova, Varvara L. Sidorenko, Irina N. Lampe, Renée Comput Math Methods Med Research Article The paper addresses the mathematical study of a nonstationary continuum model describing oxygen propagation in cerebral substance. The model allows to estimate the rate of oxygen saturation and stabilization of oxygen concentration in relatively large parts of cerebral tissue. A theoretical and numerical analysis of the model is performed. The unique solvability of the underlying initial-boundary value problem for a system of coupled nonlinear parabolic equations is proved. In the numerical experiment, the tissue oxygen saturation after hypoxia is analyzed for the case when a sufficient amount of oxygen begins to flow into the capillary network. A fast stabilization of the tissue oxygen concentration is demonstrated. The reliability of the results of the numerical simulation is discussed. Hindawi 2020-07-11 /pmc/articles/PMC7369669/ /pubmed/32733594 http://dx.doi.org/10.1155/2020/4861654 Text en Copyright © 2020 Andrey E. Kovtanyuk et al. http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Kovtanyuk, Andrey E.
Chebotarev, Alexander Yu.
Botkin, Nikolai D.
Turova, Varvara L.
Sidorenko, Irina N.
Lampe, Renée
Nonstationary Model of Oxygen Transport in Brain Tissue
title Nonstationary Model of Oxygen Transport in Brain Tissue
title_full Nonstationary Model of Oxygen Transport in Brain Tissue
title_fullStr Nonstationary Model of Oxygen Transport in Brain Tissue
title_full_unstemmed Nonstationary Model of Oxygen Transport in Brain Tissue
title_short Nonstationary Model of Oxygen Transport in Brain Tissue
title_sort nonstationary model of oxygen transport in brain tissue
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7369669/
https://www.ncbi.nlm.nih.gov/pubmed/32733594
http://dx.doi.org/10.1155/2020/4861654
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