Simulation of spontaneous breathing for healthy adults using a nonlinear airway-segmented model of respiratory mechanics.
10.7507/1001-5515.201806007
- Author:
Tianya LIU
1
;
Huiting QIAO
1
;
Deyu LI
1
;
Yubo FAN
2
,
3
Author Information
1. Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, P.R.China.
2. Beijing Advanced Innovation Centre for Biomedical Engineering, Key Laboratory for Biomechanics and Mechanobiology of Ministry of Education, School of Biological Science and Medical Engineering, Beihang University, Beijing 100083, P.R.China
3. Beijing Key Laboratory of Rehabilitation Engineering for Elderly, National Research Center for Rehabilitation Technical Aids, Beijing 100176, P.R.China.yubofan@buaa.edu.cn.
- Publication Type:Journal Article
- Keywords:
airway-segmented model;
respiratory mechanics;
respiratory system;
spontaneous breathing
- From:
Journal of Biomedical Engineering
2019;36(1):101-106
- CountryChina
- Language:Chinese
-
Abstract:
One-compartment lumped-parameter models of respiratory mechanics, representing the airflow resistance of the tracheobronchial tree with a linear or nonlinear resistor, are not able to describe the mechanical property of airways in different generations. Therefore, based on the anatomic structure of tracheobronchial tree and the mechanical property of airways in each generation, this study classified the human airways into three segments: the upper airway segment, the collapsible airway segment, and the small airway segment. Finally, a nonlinear, multi-compartment lumped-parameter model of respiratory mechanics with three airway segments was established. With the respiratory muscle effort as driving pressure, the model was used to simulate the tidal breathing of healthy adults. The results were consistent with the physiological data and the previously published results, suggesting that this model could be used for pathophysiological research of respiratory system.
