title: Modeling of chemical control of human respiratory system.
abstract: This paper addresses the fundamental understanding of the chemical control of respiratory system that would be needed to improve the efficiency of artificial ventilators and implement appropriate controllers. Hence, non-linear model for simulation of chemical control of human respiratory system under different physiological conditions is presented. The paper also presents the non-linear dissociation behaviors for oxygen and carbon dioxide solutions in the blood and the Bohr-Haldane effects as well as a new controller model. Tests were conducted on the model under different conditions such as hypoxia, hypercapnia, hypoventilation, and hyperventilation with some combination tests, in order to verify the validity of the assumptions that were made. Results indicate a very close agreement between the responses obtained from the present model and other published experimental and theoretical results. This model can be used to design a novel artificial respirator controller meeting the bodily requirements of the patient under mechanical ventilation.
authors.affiliation: Concave Research Center, Mech. and Ind. Eng. Dept., Concordia University, 1455 de Maisonneuve Blvd. West, Montréal, PQ H3G 1M8, Canada.
authors.forename: Saeed
authors.initials: S
authors.lastname: Sokhanvar
authors.forename: Javad
authors.initials: J
authors.lastname: Dargahi
authors.forename: Muthukumaran
authors.initials: M
authors.lastname: Packirisamy
authors.forename: Ebrahim
authors.initials: E
authors.lastname: Esmailzadeh
mesh_terms: D002245:Carbon Dioxide / Q000378:metabolism*; D002628:Chemoreceptor Cells; D005246:Feedback; D006487:Hemostasis; D006801:Humans; D008168:Lung / Q000378:metabolism*; D008954:Models, Biological; D017711:Nonlinear Dynamics; D010100:Oxygen / Q000378:metabolism*; D012123:Pulmonary Ventilation
chemical_list: D002245:Carbon Dioxide; D010100:Oxygen