A compartment model of alveolar–capillary oxygen diffusion with ventilation–perfusion gradient and dynamics of air transport through the respiratory tract
Abstract
This paper presents a model of alveolar–capillary oxygen diffusion with dynamics of air transport through the respiratory tract. For this purpose electrical model representing the respiratory tract mechanics and differentia equations representing oxygen membrane diffusion are combined. Relevant thermodynamic relations describing the mass of oxygen transported into the human body are proposed as the connection between these models, as well as the influence of ventilation–perfusion mismatch on the oxygen diffusion. The model is verified based on simulation results of varying exercise intensities and statistical calculations of the results obtained during various clinical trials. The benefit of the approach proposed is its application in simulation-based research aimed to generate quantitative data of normal and pathological conditions. Based on the model presented, taking into account many essential physiological processes and air transport dynamics, comprehensive and combined studies of the respiratory efficiency can be performed. The impact of physical exercise, precise changes in respiratory tract mechanics and alterations in breathing pattern can be analyzed together with the impact of various changes in alveolar–capillary oxygen diffusion. This may be useful in simulation of effects of many severe medical conditions and increased activity level.
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Keywords
Details
- Category:
- Articles
- Type:
- artykuł w czasopiśmie wyróżnionym w JCR
- Published in:
-
COMPUTERS IN BIOLOGY AND MEDICINE
no. 51,
pages 159 - 170,
ISSN: 0010-4825 - Language:
- English
- Publication year:
- 2014
- Bibliographic description:
- Jaworski J., Redlarski G.: A compartment model of alveolar–capillary oxygen diffusion with ventilation–perfusion gradient and dynamics of air transport through the respiratory tract// COMPUTERS IN BIOLOGY AND MEDICINE. -Vol. 51, (2014), s.159-170
- DOI:
- Digital Object Identifier (open in new tab) 10.1016/j.compbiomed.2014.05.001
- Verified by:
- Gdańsk University of Technology
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