Modeling pressure relationships of inspired air into the human lung bifurcations through simulations
| Autor: | Ramana M. Pidaparti, Israr Bin M. Ibrahim, Parya Aghasafari |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
Pressure drop
Mechanical ventilation Polynomial medicine.medical_treatment Computational Mechanics Mechanics 030204 cardiovascular system & hematology Exponential function Cross section (geometry) 03 medical and health sciences Computational Mathematics 0302 clinical medicine Airway resistance 030228 respiratory system Breathing Curve fitting medicine Mathematics |
| Zdroj: | International Journal for Computational Methods in Engineering Science and Mechanics. 19:69-81 |
| ISSN: | 1550-2295 1550-2287 |
| DOI: | 10.1080/15502287.2018.1430075 |
| Popis: | Applied pressure on human lung wall has great importance on setting up protective ventilatory strategies, therefore, estimating pressure relationships in terms of specific parameters would provide invaluable information specifically during mechanical ventilation (MV). A three-dimensional model from a healthy human lung MRI is analyzed by computational fluid dynamic (CFD), and results for pressure are curve fitted to estimate relationships that associate pressure to breathing time, cross section and generation numbers of intended locations. Among all possible functions, it is observed that exponential and polynomial pressure functions present most accurate results for normal breathing (NB) and MV, respectively. For validation, pressure-location curves from CFD and results from this study are compared and good correlations are found. Also, estimated pressure values are used to calculate pressure drop and airway resistance to the induced air into the lung bifurcations. It is concluded that maximum pr... |
| Databáze: | OpenAIRE |
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