Structural and Functional Changes Occuring During Growth of the Respiratory System Can Be Quantified and Classified
Clara M. Ionescu, Dana Copot, Hannes Maes, Gerd Vandersteen, Amélie Chevalier, Robin De Keyser
2014
Abstract
This paper describes the nonlinear effects in the respiratory signals captured by means of the forced oscillation technique (FOT) non-invasive lung function tests. The measurements are performed using a prototype device developed such that it overcomes the limitations present in commercial FOT devices and allows the generation of multisine signals below 4 Hz. The principle of sending detection lines in the frequency domain for characterizing odd and even nonlinear contributions from a nonlinear system are introduced briefly to the reader. Two detection methods are presented: a robust method based on multiple measurements and a fast method based on a single measurement. The ingenious combination of the device and the method allow to detect the nonlinear contributions in the respiratory signals: pressure and flow. The intrinsicly pesent nonlinear effects are quantified by means of a novel index and analyzed in two groups of healthy volunteers, aged 14 years and aged 17 years, respectively. The results we obtain suggest that the proposed device, method and index are a successful combination of lung function testing, signal processing and classification items.
References
- Daroczi, B. and Hantos, Z. (1982). An improved forced oscillatory estimation of respiratory impedance. International Journal of Bio-Medical Computing, 13:221- 235.
- De Melo, P., Werneck, M., and Giannella-Neto, A. (2000). Effect of generator nonlinearities on respiratoy impedance. Medical and Biological Engineering and Computing, 38:102-108.
- Ionescu, C. (2013). The human respiratory system: an analysis of the interplay between anatomy, structure, breathing and fractal dynamics. Springer, Series in Bio-Engineering.
- Ionescu, C. and De Keyser, R. (2003). A novel parametric model for the human respiratory system. Proceedings of the IASTED International Conference on Modeling and Simulation., pages 246-251.
- Lutchen, K. (1988). Optimal selection of frequencies for estimating parameters from respiratory impedance data. IEEE Transaction on Biomedical Engineering, 35(8).
- Maes, H., Vandersteen, G., Muehlebach, M., and Ionescu, C. (2013). A ventilator-based, low-frequent, forced oscillation technique apparatus. IEEE Transactions on Measurement and Instrumentation.
- Northrop, R. (2010). Non-invasive measurements and devices for diagnosis. CRC Press.
- Oostveen, E., MacLeod, D., Lorino, H., Farre, R., Hantos, Z., Desager, K., and Marchal, F. (2003). The forced forced oscillation technique in clinical practice: methodology, recommendations and further developments. European Respiratory journal, 22:1026-1041.
- Schoukens, J. and Pintelon, R. (2001). System identification. A frequency domain approach. IEEE Press.
- Schoukens, J., Pintelon, R., Dobrowiecki, T., and Rolain, Y. (2005). Identification of linear systems with nonlinear distorsions. Automatica, 41:491-504.
- Smith, H., Reinhold, P., and Goldman, M. (2005). Forced oscillation technique and impulse oscillometry. European Respiratory Monograph, 31(72):105.
- Suki, B. and Lutchen, K. (1992). Pseudorandom signals to estimate apparent transfer and coherence functions of nonlinear systems - applications to respiratory mechanics. IEEE Transactions Biomedical Engineering, 39(11).
- Zivanovic, M. and Schoukens, J. (2009). Time-variant harmonic signal modeling by using polynomial approximation and fully automated spectral analysis. Proceedings of the 17th European Signal Processing Conference.
Paper Citation
in Harvard Style
M. Ionescu C., Copot D., Maes H., Vandersteen G., Chevalier A. and De Keyser R. (2014). Structural and Functional Changes Occuring During Growth of the Respiratory System Can Be Quantified and Classified . In Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014) ISBN 978-989-758-011-6, pages 110-115. DOI: 10.5220/0004729901100115
in Bibtex Style
@conference{biosignals14,
author={Clara M. Ionescu and Dana Copot and Hannes Maes and Gerd Vandersteen and Amélie Chevalier and Robin De Keyser},
title={Structural and Functional Changes Occuring During Growth of the Respiratory System Can Be Quantified and Classified},
booktitle={Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)},
year={2014},
pages={110-115},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0004729901100115},
isbn={978-989-758-011-6},
}
in EndNote Style
TY - CONF
JO - Proceedings of the International Conference on Bio-inspired Systems and Signal Processing - Volume 1: BIOSIGNALS, (BIOSTEC 2014)
TI - Structural and Functional Changes Occuring During Growth of the Respiratory System Can Be Quantified and Classified
SN - 978-989-758-011-6
AU - M. Ionescu C.
AU - Copot D.
AU - Maes H.
AU - Vandersteen G.
AU - Chevalier A.
AU - De Keyser R.
PY - 2014
SP - 110
EP - 115
DO - 10.5220/0004729901100115