Evaluation of augmented RIC model of child respiratory impedance based on impulse oscillometry data

Abstract

The augmented RIC model of the respiratory system is described and analyzed in this work. The parameters for this and four other well-known respiratory system models were estimated using impulse oscillometry data, obtained from both healthy and asthmatic children, in order to compare the modeling errors and the models' fidelity. Of these five models, the augmented RIC model ranked in the middle in terms of magnitude of modeling error for the given data, but other factors in its favor were determined. Hence it is the most reasonable model to use for further studies to improve the detection and diagnosis of respiratory diseases.