articleIEEE Transactions on Biomedical EngineeringSep 30, 2008GREEN OA

Suitability of Dysphonia Measurements for Telemonitoring of Parkinson's Disease

University of Oxford · Denver Center for the Performing Arts · +1 more institution

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Abstract

We present an assessment of the practical value of existing traditional and non-standard measures for discriminating healthy people from people with Parkinson's disease (PD) by detecting dysphonia. We introduce a new measure of dysphonia, Pitch Period Entropy (PPE), which is robust to many uncontrollable confounding effects including noisy acoustic environments and normal, healthy variations in voice frequency. We collected sustained phonations from 31 people, 23 with PD. We then selected 10 highly uncorrelated measures, and an exhaustive search of all possible combinations of these measures finds four that in combination lead to overall correct classification performance of 91.4%, using a kernel support…

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1,018
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Authors

5

Topics & keywords

Keywords
  • Uncorrelated
  • Support vector machine
  • Speech recognition
  • Parkinson's disease
  • Confounding
  • Entropy (arrow of time)
  • Audiology
  • Artificial intelligence
UN Sustainable Development Goals
  • Reduced inequalities
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