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International Conference on Biomedical and Health Informatics

ICBHI 2017: Precision Medicine Powered by pHealth and Connected Health pp 51–55Cite as

Detection of Cough and Adventitious Respiratory Sounds in Audio Recordings by Internal Sound Analysis

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Part of the book series: IFMBE Proceedings ((IFMBE,volume 66))

Abstract

We present a multi-feature approach to the detection of cough and adventitious respiratory sounds. After the removal of near-silent segments, a vector of event boundaries is obtained and a proposed set of 126 features is extracted for each event. Evaluation was performed on a data set comprised of internal audio recordings from 18 patients. The best performance (F-measure = 0.69 ± 0.03; specificity = 0.90 ± 0.01) was achieved when merging wheezes and crackles into a single class of adventitious respiratory sounds.

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Notes

  1. 1.

    http://audacity.sourceforge.net/.

  2. 2.

    http://www.welcome-project.eu/.

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Acknowledgements

The authors would like to thank the health professionals and the patients who have agreed to participate in the data collection process. This work was financially supported by the EU project WELCOMEFootnote 2 (FP7-ICT-2013-10/611223)

Author information

Authors and Affiliations

  1. Centre for Informatics and Systems, University of Coimbra, DEI, Polo 2, Pinhal de Marrocos, Coimbra, Portugal

    B. M. Rocha, L. Mendes, P. Carvalho & R. P. Paiva

  2. Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

    I. Chouvarda

Authors
  1. B. M. Rocha
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  2. L. Mendes
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  3. I. Chouvarda
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  4. P. Carvalho
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  5. R. P. Paiva
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Corresponding author

Correspondence to B. M. Rocha .

Editor information

Editors and Affiliations

  1. Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Nicos Maglaveras

  2. Department of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece

    Ioanna Chouvarda

  3. Department of Informatics Engineering, University of Coimbra, Coimbra, Portugal

    Paulo de Carvalho

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Rocha, B.M., Mendes, L., Chouvarda, I., Carvalho, P., Paiva, R.P. (2018). Detection of Cough and Adventitious Respiratory Sounds in Audio Recordings by Internal Sound Analysis. In: Maglaveras, N., Chouvarda, I., de Carvalho, P. (eds) Precision Medicine Powered by pHealth and Connected Health. ICBHI 2017. IFMBE Proceedings, vol 66. Springer, Singapore. https://doi.org/10.1007/978-981-10-7419-6_9

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  • DOI: https://doi.org/10.1007/978-981-10-7419-6_9

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7418-9

  • Online ISBN: 978-981-10-7419-6

  • eBook Packages: EngineeringEngineering (R0)

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