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Modeling Human Respiratory Impedance

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4 Author(s)
Diong, B. ; Texas Univ., El Paso, TX ; Nazeran, H. ; Nava, P. ; Goldman, M.

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

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Engineering in Medicine and Biology Magazine, IEEE  (Volume:26 ,  Issue: 1 )