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The Human Respiratory System pp 99–137Cite as

Frequency Domain: Parametric Model Selection and Evaluation

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Part of the book series: Series in BioEngineering ((SERBIOENG))

Abstract

This chapter provides the reader with insight for selecting the best candidate model to characterize the impedance and further validation in clinical studies. An analysis of the modeling performance of several candidate fractional-order models on the respiratory impedance is necessary, in order to decide which model is most suitable in the frequency range of interest. The models are presented on an evolutionary basis from the most simple to the most complex representation. The model delivering the least modeling errors and having the least number of parameters is then selected as the best candidate to model the input impedance in various frequency range intervals. Once the selection is performed, the ability of the FO model in classifying between healthy and pathologic patient data needs to be assessed. The investigated clinical groups are twofold: (i) adults and (ii) children. In the adult group are healthy volunteers and patients a priori diagnosed with chronic obstructive pulmonary disease and with kyphoscoliosis. In the children group are healthy volunteers, and patients a priori diagnosed with asthma and with cystic fibrosis. All the measurements have been performed using the forced oscillation lung function test.

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Authors and Affiliations

  1. Department of Electrical Energy, Systems and Automation, Ghent University, Gent, Belgium

    Clara Mihaela Ionescu

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  1. Clara Mihaela Ionescu
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Ionescu, C.M. (2013). Frequency Domain: Parametric Model Selection and Evaluation. In: The Human Respiratory System. Series in BioEngineering. Springer, London. https://doi.org/10.1007/978-1-4471-5388-7_7

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  • DOI: https://doi.org/10.1007/978-1-4471-5388-7_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-5387-0

  • Online ISBN: 978-1-4471-5388-7

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