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Detection of Parkinson’s Disease by Voice Signal

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Advanced Technologies, Systems, and Applications II (IAT 2017)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 28))

Abstract

Detection of Parkinson Disease by Voice Signal is based on noninvasive method for disease detection. Here we used Speech Dataset of sound records which has been shown as most effective up to now. In order to detect presence of disease by using different classifiers. At the end accuracy of each of them have been calculated and compared.

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Author information

Authors and Affiliations

  1. International Burch University, Sarajevo, Bosnia and Herzegovina

    Fatima Mašić, Mehmed Đug, Jasna Nuhić & Jasmin Kevrić

Authors
  1. Fatima Mašić
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  2. Mehmed Đug
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  3. Jasna Nuhić
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  4. Jasmin Kevrić
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Corresponding author

Correspondence to Fatima Mašić .

Editor information

Editors and Affiliations

  1. Data Science Initiative, UNC Charlotte, Charlotte, USA

    Mirsad Hadžikadić

  2. Faculty of Electrical Engineering, University of Sarajevo, Sarajevo, Bosnia and Herzegovina

    Samir Avdaković

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Mašić, F., Đug, M., Nuhić, J., Kevrić, J. (2018). Detection of Parkinson’s Disease by Voice Signal. In: Hadžikadić, M., Avdaković, S. (eds) Advanced Technologies, Systems, and Applications II. IAT 2017. Lecture Notes in Networks and Systems, vol 28. Springer, Cham. https://doi.org/10.1007/978-3-319-71321-2_90

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  • DOI: https://doi.org/10.1007/978-3-319-71321-2_90

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-71320-5

  • Online ISBN: 978-3-319-71321-2

  • eBook Packages: EngineeringEngineering (R0)

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