Breathing conditions pertaining to nasal obstruction, obstructive sleep apnea, and airflow resistance in the human lower airways have been investigated extensively by researchers over the years. Due to the availability of advanced computer numerical models, such as computational fluid dynamics (CFD), researchers have made progressive studies of airflow characteristic, especially the effects of airflow pressure, velocity and wall shear stress in human obstructive airways. Studies utilizing CFD have enhanced clinical understanding of the physiology and pathophysiology of the respiratory system through the concept of three-dimensional models that facilitate airflow simulation. The main objective of this article is to review recent CFD literature on nasal airflow and lower airway obstruction. The review covers the role of segmentation threshold in the outcome of airflow simulation in the nasal cavity, and results of fluid structure interaction (FSI) and computational fluid dynamics in nasal obstruction and airway collapse in obstructive sleep apnea were also correlated. For models of the lower airways, we evaluated the effect of extra-thoracic airway (ETA) on downstream airflow during simulation against the popular Weibel’s model. In the concluding section, we discussed the advantages, limitations, and prospects (precisely with deep machine learning) of computational fluid dynamics in the clinical assessment and investigation of respiratory diseases.
| Published in | International Journal of Biomedical Science and Engineering (Volume 9, Issue 2) |
| DOI | 10.11648/j.ijbse.20210902.12 |
| Page(s) | 16-26 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2021. Published by Science Publishing Group |
Computational Fluid Dynamics (CFD), Fluid-structure Interaction (FSI), Airway Obstruction, Segmentation Threshold (ST), Obstructive Sleep Apnea (OSA)
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APA Style
Oyejide James Ayodele, Atoyebi Ebenezer Oluwatosin, Olutosoye Christian Taiwo, Ademola Adebukola Dare. (2021). Computational Fluid Dynamics Modeling in Respiratory Airways Obstruction: Current Applications and Prospects. International Journal of Biomedical Science and Engineering, 9(2), 16-26. https://doi.org/10.11648/j.ijbse.20210902.12
ACS Style
Oyejide James Ayodele; Atoyebi Ebenezer Oluwatosin; Olutosoye Christian Taiwo; Ademola Adebukola Dare. Computational Fluid Dynamics Modeling in Respiratory Airways Obstruction: Current Applications and Prospects. Int. J. Biomed. Sci. Eng. 2021, 9(2), 16-26. doi: 10.11648/j.ijbse.20210902.12
AMA Style
Oyejide James Ayodele, Atoyebi Ebenezer Oluwatosin, Olutosoye Christian Taiwo, Ademola Adebukola Dare. Computational Fluid Dynamics Modeling in Respiratory Airways Obstruction: Current Applications and Prospects. Int J Biomed Sci Eng. 2021;9(2):16-26. doi: 10.11648/j.ijbse.20210902.12
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Download@article{10.11648/j.ijbse.20210902.12,
author = {Oyejide James Ayodele and Atoyebi Ebenezer Oluwatosin and Olutosoye Christian Taiwo and Ademola Adebukola Dare},
title = {Computational Fluid Dynamics Modeling in Respiratory Airways Obstruction: Current Applications and Prospects},
journal = {International Journal of Biomedical Science and Engineering},
volume = {9},
number = {2},
pages = {16-26},
doi = {10.11648/j.ijbse.20210902.12},
url = {https://doi.org/10.11648/j.ijbse.20210902.12},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijbse.20210902.12},
abstract = {Breathing conditions pertaining to nasal obstruction, obstructive sleep apnea, and airflow resistance in the human lower airways have been investigated extensively by researchers over the years. Due to the availability of advanced computer numerical models, such as computational fluid dynamics (CFD), researchers have made progressive studies of airflow characteristic, especially the effects of airflow pressure, velocity and wall shear stress in human obstructive airways. Studies utilizing CFD have enhanced clinical understanding of the physiology and pathophysiology of the respiratory system through the concept of three-dimensional models that facilitate airflow simulation. The main objective of this article is to review recent CFD literature on nasal airflow and lower airway obstruction. The review covers the role of segmentation threshold in the outcome of airflow simulation in the nasal cavity, and results of fluid structure interaction (FSI) and computational fluid dynamics in nasal obstruction and airway collapse in obstructive sleep apnea were also correlated. For models of the lower airways, we evaluated the effect of extra-thoracic airway (ETA) on downstream airflow during simulation against the popular Weibel’s model. In the concluding section, we discussed the advantages, limitations, and prospects (precisely with deep machine learning) of computational fluid dynamics in the clinical assessment and investigation of respiratory diseases.},
year = {2021}
}
TY - JOUR T1 - Computational Fluid Dynamics Modeling in Respiratory Airways Obstruction: Current Applications and Prospects AU - Oyejide James Ayodele AU - Atoyebi Ebenezer Oluwatosin AU - Olutosoye Christian Taiwo AU - Ademola Adebukola Dare Y1 - 2021/05/15 PY - 2021 N1 - https://doi.org/10.11648/j.ijbse.20210902.12 DO - 10.11648/j.ijbse.20210902.12 T2 - International Journal of Biomedical Science and Engineering JF - International Journal of Biomedical Science and Engineering JO - International Journal of Biomedical Science and Engineering SP - 16 EP - 26 PB - Science Publishing Group SN - 2376-7235 UR - https://doi.org/10.11648/j.ijbse.20210902.12 AB - Breathing conditions pertaining to nasal obstruction, obstructive sleep apnea, and airflow resistance in the human lower airways have been investigated extensively by researchers over the years. Due to the availability of advanced computer numerical models, such as computational fluid dynamics (CFD), researchers have made progressive studies of airflow characteristic, especially the effects of airflow pressure, velocity and wall shear stress in human obstructive airways. Studies utilizing CFD have enhanced clinical understanding of the physiology and pathophysiology of the respiratory system through the concept of three-dimensional models that facilitate airflow simulation. The main objective of this article is to review recent CFD literature on nasal airflow and lower airway obstruction. The review covers the role of segmentation threshold in the outcome of airflow simulation in the nasal cavity, and results of fluid structure interaction (FSI) and computational fluid dynamics in nasal obstruction and airway collapse in obstructive sleep apnea were also correlated. For models of the lower airways, we evaluated the effect of extra-thoracic airway (ETA) on downstream airflow during simulation against the popular Weibel’s model. In the concluding section, we discussed the advantages, limitations, and prospects (precisely with deep machine learning) of computational fluid dynamics in the clinical assessment and investigation of respiratory diseases. VL - 9 IS - 2 ER -
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