How to Represent Respiratory System take Pathology into Account

Zhong Hai He; Chuan Xi Li; Ni Yang; Zhen He Ma

doi:10.4028/www.scientific.net/AMR.750-752.1567

Paper Titles

Protective Effect of Schisandrin on Hydrogen Peroxide-Induced Damage in PC12 Cells
p.1545

Effects of Radix Platycodonis Polysaccharide on Expressions of IFN-γ, IL-4 and IL-5 in the Bronchoalveolar Lavage Fluid and Nf-κВ in the Lung Tissue of Asthmatic Rats
p.1549

Study on Purification of Tea Saponin by Foam Separation Method
p.1555

Solid-Liquid Extraction Kinetics of Flavonoids from Okra (Abelmoschus esculentus l. Moench) Pods with Applicability Analysis
p.1560

How to Represent Respiratory System take Pathology into Account
p.1567

Effects of Selenium Application in Soil on Formation of Iron Plaque outside Roots and Cadmium Uptake by Rice Plants
p.1573

A New Rice Husk-Plastic Composite Powder Preparation Process for Selective Laser Sintering Fabrication
p.1577

Effects of Zein on Film-Forming Ability and Properties of Wheat Gluten Films
p.1582

Water Prehydrolysis of Moso Bamboo Dissolving Pulp
p.1586

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 750-752How to Represent Respiratory System take Pathology...

How to Represent Respiratory System take Pathology into Account

Abstract:

In this paper nonlinear phenomenon of respiratory system is analyzed. Airway is partitioned into four parts by different morphology which causes different fluid dynamic character. Reasons that cause nonlinear phenomenon for different parts are given. To simplify the representation corresponding parameters is selected to compromise complicity and precision. Finally the suggested representation of respiratory system is summarized so that the model can be used easily in lung simulator.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 750-752)

Pages:

1567-1570

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.750-752.1567

Citation:

Cite this paper

Online since:

August 2013

Authors:

Zhong Hai He, Chuan Xi Li, Ni Yang, Zhen He Ma

Keywords:

Airway Resistance Analysis, Fluid Dynamic Character, Lung Representation, Nonlinear Phenomenon

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Arthur B. Otis, Collin B. McKerrow, Richard A. Bartlett, Jere Mead, et al, Mechanical factors in distribution of pulmonary ventilation, Journal of applied physiology, vol. 8, 1956, pp.427-443.

DOI: 10.1152/jappl.1956.8.4.427

Google Scholar

[2] Adam G. Polak, Janusz Mroczka, Nonlinear model for mechanical ventilation of human lungs, Computers in biology and medicine, vol. 36, 2006, pp.41-58.

DOI: 10.1016/j.compbiomed.2004.08.001

Google Scholar

[3] Adam G. Polak, A model-based method for limitation analysis in the heterogeneous human lung, Computer methods and programs in biomedicine, vol. 89, 2008, pp.123-131.

DOI: 10.1016/j.cmpb.2007.03.009

Google Scholar

[4] Adam G. Polak, A forward model for maximum expiration, Computers in biology and medicine, vol. 28, 1998, pp.613-625.

DOI: 10.1016/s0010-4825(98)00041-9

Google Scholar

[5] E.R. Weibel, Morphometry of the Human Lung, New York: Academic Press, (1963).

Google Scholar

[6] Guido Avanzoloni, Paolo Barbini, Fabrizio Bernardi, et al, Role of the mechanical properties of tracheobronchial airways in determining the respiratory resistance time course, Annals of biomedical engineering, vol. 29, 2001, pp.575-586.

DOI: 10.1114/1.1380418

Google Scholar