A Novel Parametric Model For The Human Respiratory System

• Main Authors: Clara Mihaela IONESCU, Robin DE KEYSER
• Format: Article
• Language: English
• Published: Universitatea Dunarea de Jos 2003-12-01
• Series: Analele Universităţii "Dunărea de Jos" Galaţi: Fascicula III, Electrotehnică, Electronică, Automatică, Informatică
• Subjects: respiratory system; respiratory mechanics; biomedical modelling; optimisation; non-linear model; forced oscillation technique
• Online Access: http://www.ann.ugal.ro/eeai/archives/2003/Lucrarea%203%20-%20Clara%20Mihaela%20Ionescu%20-%20Anale%202003.pdf

The purpose of this work is to present some recent results in an ongoing research project between Ghent University and Chess Medical Technology Company Belgium. The overall aim of the project is to provide a fast method for identification of the human respiratory system in order to allow for an instantaneously diagnosis of the patient by the medical staff. A novel parametric model of the human respiratory system as well as the obtained experimental results is presented in this paper. A prototype apparatus developed by the company, based on the forced oscillation technique is used to record experimental data from 4 patients in this paper. Signal processing is based on spectral analysis and is followed by the parametric identification of a non-linear mechanistic model. The parametric model is equivalent to the structure of a simple electrical RLC-circuit, containing a non-linear capacitor. These parameters have a useful and easy-to-interpret physical meaning for the medical staff members.