Modeling Human Respiratory Impedance

This article describes the analysis of a new respiratory system model that could have properties favorable for disease detection, diagnosis, and treatment. First, we compare the performance of four well-known models to the performance of this new model by estimating their parameters and calculating the corresponding estimation errors. Next, this proposed extended RIC model´s parameter estimates for ill and healthy subjects´ data are compared to gauge their ability to discriminate between these groups. In addition, we present an analysis using this model that supports the observed strong correlation between the frequency-dependence of respiratory resistance at low frequencies with the magnitude of the low-frequency reactance area