Phonation Biomechanics in Quantifying Parkinson’s Disease Symptom Severity

  • P. Gómez-VildaEmail author
  • A. Álvarez-Marquina
  • A. Tsanas
  • C. A. Lázaro-Carrascosa
  • V. Rodellar-Biarge
  • V. Nieto-Lluis
  • R. Martínez-Olalla
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 48)


It is known that Parkinson’s Disease (PD) leaves marks in phonation dystonia and tremor. These marks can be expressed as a function of biomechanical characteristics monitoring vocal fold tension and imbalance. These features may assist tracing the neuromotor activity of laryngeal pathways. Therefore these features may be used in grading the stage of a PD patient efficiently, frequently and remotely by telephone or VoIP channels. The present work is devoted to describe and compare the PD symptom severity quantification from neuromotor-sensitive features with respect to other features on a telephone-recorded database. The results of these comparisons are presented and discussed.


Neurologic disease Parkinson’s Disease (PD) Speech neuromotor activity Aging voice Dysarthria 



This work is being funded by grants TEC2012-38630-C04-01 and TEC2012-38630-C04-04 from Plan Nacional de I\(+\)D\(+\)i, Ministry of Economic Affairs and Competitiveness of Spain. from Plan Nacional de I\(+\)D\(+\)i, Ministry of Economic Affairs and Competitiveness of Spain. Special thanks are also due to the Patient Voice Analysis Challenge initiative for allowing the use of their data in the present study.


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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • P. Gómez-Vilda
    • 1
    Email author
  • A. Álvarez-Marquina
    • 1
  • A. Tsanas
    • 2
  • C. A. Lázaro-Carrascosa
    • 1
  • V. Rodellar-Biarge
    • 1
  • V. Nieto-Lluis
    • 1
  • R. Martínez-Olalla
    • 1
  1. 1.Neuromorphic Speech Processing Lab, Center for Biomedical TechnologyUniversidad Politécnica de Madrid, Campus de MontegancedoMadridSpain
  2. 2.Oxford Centre for Industrial and Applied MathematicsUniversity of OxfordOxfordUK

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