Detection of novel respiratory mechanics parameters by means of forced oscillations

Authors:	Ionescu Clara, Ghent University, Belgium De Keyser Robin, Ghent University, Belgium
Topic:	8.2 Modelling & Control of Biomedical Systems
Session:	Control Application to Life Medicine II
Keywords:	signal processing, filter design, amplitude modulation, frequency dependent characteristics, forced oscillation, sinusoidal signals

Abstract

The objective of this paper is to present recent results obtained in a research project between Ghent University and Chess medical Technology, Belgium. The overall aim is to provide a fast method for identification of airway mechanics, in order to assist the medical staff in obtaining a diagnosis of the patient. Some ideas for a novel detection of respiratory mechanics parameters for the human respiratory system are presented, as well as preliminary experimental results, indicating the future potential of the method.