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A recurrent parameter model to characterize the high-frequency range of respiratory impedance in healthy subjects

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Abstract
In this work, a re-visited model of the respiratory system is proposed. Identification of a recurrent electrical ladder network model of the lungs, which incorporates their specific morphology and anatomical structure, is performed on 31 healthy subjects. The data for identification has been gathered using the forced oscillation lung function test, which delivers a non-parametric model of the impedance. On the measured frequency response, the ladder network parameters have been identified and a fractional order has been calculated from the recurrent ratios of the respiratory mechanics (resistance and compliance). The paper includes also a comparison of our recurrent parameter model with another parametric model for high frequency range. The results suggest that the two models can equally well characterize the respiratory impedance over a long range of frequencies. Additionally, we have shown that the fractional order resulting from the recurrent properties of resistance and compliance in the ladder network model is independent of frequency and is not biased by the nose clip wore by the patients during measurements. An illustrative example shows that our re-visited model is sensitive to changes in respiratory mechanics and the fractional order value is a reliable parameter to capture these changes.

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MLA
Ionescu, Clara-Mihaela, Jairo Andres Hernandez Naranjo, and Robain De Keyser. “A Recurrent Parameter Model to Characterize the High-frequency Range of Respiratory Impedance in Healthy Subjects.” IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS 7.6 (2013): 882–892. Print.
APA
Ionescu, C.-M., Hernandez Naranjo, J. A., & De Keyser, R. (2013). A recurrent parameter model to characterize the high-frequency range of respiratory impedance in healthy subjects. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 7(6), 882–892.
Chicago author-date
Ionescu, Clara-Mihaela, Jairo Andres Hernandez Naranjo, and Robain De Keyser. 2013. “A Recurrent Parameter Model to Characterize the High-frequency Range of Respiratory Impedance in Healthy Subjects.” Ieee Transactions on Biomedical Circuits and Systems 7 (6): 882–892.
Chicago author-date (all authors)
Ionescu, Clara-Mihaela, Jairo Andres Hernandez Naranjo, and Robain De Keyser. 2013. “A Recurrent Parameter Model to Characterize the High-frequency Range of Respiratory Impedance in Healthy Subjects.” Ieee Transactions on Biomedical Circuits and Systems 7 (6): 882–892.
Vancouver
1.
Ionescu C-M, Hernandez Naranjo JA, De Keyser R. A recurrent parameter model to characterize the high-frequency range of respiratory impedance in healthy subjects. IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS. 2013;7(6):882–92.
IEEE
[1]
C.-M. Ionescu, J. A. Hernandez Naranjo, and R. De Keyser, “A recurrent parameter model to characterize the high-frequency range of respiratory impedance in healthy subjects,” IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, vol. 7, no. 6, pp. 882–892, 2013.
@article{4294529,
  abstract     = {In this work, a re-visited model of the respiratory system is proposed. Identification of a recurrent electrical ladder network model of the lungs, which incorporates their specific morphology and anatomical structure, is performed on 31 healthy subjects. The data for identification has been gathered using the forced oscillation lung function test, which delivers a non-parametric model of the impedance. On the measured frequency response, the ladder network parameters have been identified and a fractional order has been calculated from the recurrent ratios of the respiratory mechanics (resistance and compliance). The paper includes also a comparison of our recurrent parameter model with another parametric model for high frequency range. The results suggest that the two models can equally well characterize the respiratory impedance over a long range of frequencies. Additionally, we have shown that the fractional order resulting from the recurrent properties of resistance and compliance in the ladder network model is independent of frequency and is not biased by the nose clip wore by the patients during measurements. An illustrative example shows that our re-visited model is sensitive to changes in respiratory mechanics and the fractional order value is a reliable parameter to capture these changes.},
  author       = {Ionescu, Clara-Mihaela and Hernandez Naranjo, Jairo Andres and De Keyser, Robain},
  issn         = {1932-4545},
  journal      = {IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS},
  language     = {eng},
  number       = {6},
  pages        = {882--892},
  title        = {A recurrent parameter model to characterize the high-frequency range of respiratory impedance in healthy subjects},
  url          = {http://dx.doi.org/10.1109/TBCAS.2013.2243837},
  volume       = {7},
  year         = {2013},
}

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