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International Joint Conference on Biomedical Engineering Systems and Technologies

BIOSTEC 2014: Biomedical Engineering Systems and Technologies pp 233–245Cite as

Exploring Expiratory Flow Dynamics to Understand Chronic Obstructive Pulmonary Disease

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 511))

Abstract

Chronic obstructive pulmonary disease (COPD) is one of the most common respiratory diseases and a leading cause of morbidity and mortality. It is characterized by irreversible airflow limitations. We aimed to explore whether the dynamics of expiration could serve as a descriptor of airflow limitations. Additionally, we explored the relationship between dynamic components and the presence of COPD. A data-based model was developed using data from 474 subjects. Significant difference (p < 0.0001) was found comparing a group of diseased patients with healthy for each dynamic component (namely the two poles, the steady state gain (SSG) and the time constant). Moreover difference was observed for each severity stage of disease. When ranking all components, SSG and pole1 are highlighted as the best COPD descriptors. We concluded that more detailed analysis of the forced expiration can be used to expand the understanding of COPD. Furthermore, the obtained parameters may improve current COPD assessment.

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Acknowledgements

The authors would like to thank Geert Celis and co-workers (Respiratory Division, University Hospital Leuven, Belgium) for helping in collection of patient data and their technical support in extracting data from the Masterlab.

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Authors and Affiliations

  1. Respiratory Division, Department of Clinical and Experimental Medicine, University Hospital Leuven, KU Leuven, Leuven, Belgium

    Marko Topalovic, Thierry Troosters, Marc Decramer & Wim Janssens

  2. Division Animal and Human Health Engineering, Department of Biosystems, Faculty of Bioscience Engineering, KU Leuven, Leuven, Belgium

    Vasileios Exadaktylos, Jean-Marie Aerts & Daniel Berckmans

  3. Faculty of Kinesiology and Rehabilitation Sciences, Department of Rehabilitation Sciences, KU Leuven, Leuven, Belgium

    Thierry Troosters

Authors
  1. Marko Topalovic
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  2. Vasileios Exadaktylos
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  3. Jean-Marie Aerts
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  4. Thierry Troosters
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  5. Marc Decramer
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  6. Daniel Berckmans
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  7. Wim Janssens
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Corresponding author

Correspondence to Marko Topalovic .

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Editors and Affiliations

  1. ESEO, ANGERS CEDEX 02, France

    Guy Plantier

  2. Cognitive Systems Lab., Karlsruhe Institute of Technology, Karlsruhe, Baden-Württemberg, Germany

    Tanja Schultz

  3. Technical University of Lisbon, Lisbon, Portugal

    Ana Fred

  4. New University of Lisbon, Lisboa, Portugal

    Hugo Gamboa

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Topalovic, M. et al. (2015). Exploring Expiratory Flow Dynamics to Understand Chronic Obstructive Pulmonary Disease. In: Plantier, G., Schultz, T., Fred, A., Gamboa, H. (eds) Biomedical Engineering Systems and Technologies. BIOSTEC 2014. Communications in Computer and Information Science, vol 511. Springer, Cham. https://doi.org/10.1007/978-3-319-26129-4_15

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  • DOI: https://doi.org/10.1007/978-3-319-26129-4_15

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-26128-7

  • Online ISBN: 978-3-319-26129-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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