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Detecting and analyzing non-linear effects in respiratory impedance measurements

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Abstract
This article describes the nonlinear effects in the respiratory impedance and in the related measurement instrumentation during the forced oscillation technique (FOT) measurements. First, the principle of FOT-measurements and nonlinear variance analysis is explained. Two methods are considered to detect nonlinear effects: a robust method and a fast method. These methods are employed to compare the nonlinear distortions in a prototype device and a commercial device, respectively. The identification signal for the respiratory impedance is optimized to reduce the nonlinear distortions. Finally, the nonlinear effects are measured in the respiratory impedance. A set of lung function tests are performed in several groups of patients with various lung conditions (healthy, asthma, cystic fibrosis, smoking). Based on the measured data from the patients, the corresponding nonlinear distortions can be quantified and evaluated for classification purposes.
Keywords
FORCED OSCILLATION TECHNIQUE

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Citation

Please use this url to cite or link to this publication:

Chicago
Ionescu, Clara-Mihaela, Johan Schoukens, and Robain De Keyser. 2011. “Detecting and Analyzing Non-linear Effects in Respiratory Impedance Measurements.” In Proceedings of the American Control Conference, 5412–5417. New York, NY, USA: IEEE.
APA
Ionescu, C.-M., Schoukens, J., & De Keyser, R. (2011). Detecting and analyzing non-linear effects in respiratory impedance measurements. Proceedings of the American Control Conference (pp. 5412–5417). Presented at the 2011 American Control Conference (ACC), New York, NY, USA: IEEE.
Vancouver
1.
Ionescu C-M, Schoukens J, De Keyser R. Detecting and analyzing non-linear effects in respiratory impedance measurements. Proceedings of the American Control Conference. New York, NY, USA: IEEE; 2011. p. 5412–7.
MLA
Ionescu, Clara-Mihaela, Johan Schoukens, and Robain De Keyser. “Detecting and Analyzing Non-linear Effects in Respiratory Impedance Measurements.” Proceedings of the American Control Conference. New York, NY, USA: IEEE, 2011. 5412–5417. Print.
@inproceedings{1957494,
  abstract     = {This article describes the nonlinear effects in the respiratory impedance and in the related measurement instrumentation during the forced oscillation technique (FOT) measurements. First, the principle of FOT-measurements and nonlinear variance analysis is explained. Two methods are considered to detect nonlinear effects: a robust method and a fast method. These methods are employed to compare the nonlinear distortions in a prototype device and a commercial device, respectively. The identification signal for the respiratory impedance is optimized to reduce the nonlinear distortions. Finally, the nonlinear effects are measured in the respiratory impedance. A set of lung function tests are performed in several groups of patients with various lung conditions (healthy, asthma, cystic fibrosis, smoking). Based on the measured data from the patients, the corresponding nonlinear distortions can be quantified and evaluated for classification purposes.},
  author       = {Ionescu, Clara-Mihaela and Schoukens, Johan and De Keyser, Robain},
  booktitle    = {Proceedings of the American Control Conference},
  isbn         = {9781457700811},
  issn         = {0743-1619},
  keyword      = {FORCED OSCILLATION TECHNIQUE},
  language     = {eng},
  location     = {San Francisco, CA, USA},
  pages        = {5412--5417},
  publisher    = {IEEE},
  title        = {Detecting and analyzing non-linear effects in respiratory impedance measurements},
  year         = {2011},
}

Web of Science
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