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Conference of Information Technologies in Biomedicine

ITiB 2016: Information Technologies in Medicine pp 445–454Cite as

Coughing Record Analysis Using Matlab Signal Processing Toolbox

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 471))

Abstract

Coughing is well-known and theoretically described process. It can be described as a pathological phenomenon, because it is secondary phenomenon of many diseases. Mathematical analysis as well as its detection (quantification and classification) is solved for many years. This article deals with analysis of the various coughing sound recordings. Three different coughing types are analyzed under the same conditions. Matlab signal processing toolbox is used for this purpose. Theoretical background as well as obtained results are presented and discussed in the paper.

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References

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Acknowledgments

We thank to prof. Milos Tatar, Jessenius Faculty of Medicine in Martin, for the coughing sound recordings and advices to solve the proposed problems.

Author information

Authors and Affiliations

  1. University of Zilina, 010 26, Zilina, Slovakia

    Lukas Behun & Milan Smetana

Authors
  1. Lukas Behun
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  2. Milan Smetana
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Corresponding author

Correspondence to Lukas Behun .

Editor information

Editors and Affiliations

  1. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Ewa Piętka

  2. Fac of Biomed Engg, ul. Roosevelta 40, Silesian University of Technology, Gliwice, Poland

    Pawel Badura

  3. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Jacek Kawa

  4. Faculty of Biomedical Engineering, Silesian University of Technology, Gliwice, Poland

    Wojciech Wieclawek

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© 2016 Springer International Publishing Switzerland

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Cite this paper

Behun, L., Smetana, M. (2016). Coughing Record Analysis Using Matlab Signal Processing Toolbox. In: Piętka, E., Badura, P., Kawa, J., Wieclawek, W. (eds) Information Technologies in Medicine. ITiB 2016. Advances in Intelligent Systems and Computing, vol 471. Springer, Cham. https://doi.org/10.1007/978-3-319-39796-2_37

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  • DOI: https://doi.org/10.1007/978-3-319-39796-2_37

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-39795-5

  • Online ISBN: 978-3-319-39796-2

  • eBook Packages: EngineeringEngineering (R0)

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