Issue |
MATEC Web Conf.
Volume 71, 2016
The International Conference on Computing and Precision Engineering (ICCPE 2015)
|
|
---|---|---|
Article Number | 02002 | |
Number of page(s) | 6 | |
Section | Modeling, Numerical Simulation and Optimization | |
DOI | https://doi.org/10.1051/matecconf/20167102002 | |
Published online | 02 August 2016 |
The Effect of mechanical resistive loading on optimal respiratory signals and breathing patterns under added dead space and CO2 breathing
1 Department of Automatic Control Engineering, Feng Chia University, 40724, Taichung, Taiwan
2 Department of Information Communication, MingDao University, 52345, Changhua, Taiwan
a Corresponding author: sllin@fcu.edu.tw, sllin@mdu.edu.tw
Current study aims to investigate how the respiratory resistive loading affects the behaviour of the optimal chemical-mechanical respiratory control model, the respiratory signals and breathing pattern are optimized under external dead space loading and CO2 breathing. The respiratory control was modelled to include a neuro-muscular drive as the control output to derive the waveshapes of instantaneous airflow, lung volume profiles, and breathing pattern, including total/alveolar ventilation, breathing frequency, tidal volume, inspiratory/expiratory duration, duty cycle, and arterial CO2 pressure. The simulations were performed under various respiratory resistive loads, including no load, inspiratory resistive load, expiratory resistive load, and continuous resistive load. The dead space measurement was described with Gray’s derivation, and simulation results were studied and compared with experimental findings.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.