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Influence of bronchial diameter change on the airflow dynamics based on a pressure-controlled ventilation system

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29 Scopus citations

Abstract

Bronchial diameter is a key parameter that affects the respiratory treatment of mechanically ventilated patients. In this paper, to reveal the influence of bronchial diameter on the airflow dynamics of pressure-controlled mechanically ventilated patients, a new respiratory system model is presented that combines multigeneration airways with lungs. Furthermore, experiments and simulation studies to verify the model are performed. Finally, through the simulation study, it can be determined that in airway generations 2 to 7, when the diameter is reduced to half of the original value, the maximum air pressure (maximum air pressure in lungs) decreases by nearly 16%, the maximum flow decreases by nearly 30%, and the total airway pressure loss (sum of each generation pressure drop) is more than 5 times the original value. Moreover, in airway generations 8 to 16, with increasing diameter, the maximum air pressure, maximum flow, and total airway pressure loss remain almost constant. When the diameter is reduced to half of the original value, the maximum air pressure decreases by 3%, the maximum flow decreases by nearly 5%, and the total airway pressure loss increases by 200%. The study creates a foundation for improvement in respiratory disease diagnosis and treatment.

Original languageEnglish
Article numbere2929
JournalInternational Journal for Numerical Methods in Biomedical Engineering
Volume34
Issue number3
DOIs
StatePublished - Mar 2018

Bibliographical note

Publisher Copyright:
Copyright © 2017 John Wiley & Sons, Ltd.

Funding

The research was funded by a grant (51575020) from the National Natural Science Foundation of China.

Funders
National Natural Science Foundation of China (NSFC)

    Keywords

    • airflow dynamics
    • bronchial diameter change
    • experiment
    • respiratory system model
    • simulation

    ASJC Scopus subject areas

    • Software
    • Biomedical Engineering
    • Modeling and Simulation
    • Molecular Biology
    • Computational Theory and Mathematics
    • Applied Mathematics

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