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Parkinson’s Disease Progression Assessment from Speech Using a Mobile Device-Based Application

  • T. Arias-VergaraEmail author
  • P. Klumpp
  • J. C. Vásquez-Correa
  • J. R. Orozco-Arroyave
  • E. Nöth
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10415)

Abstract

This paper presents preliminary results of individual speaker models for monitoring Parkinson’s disease from speech using a smart-phone. The aim of this study is to evaluate the suitability of mobile devices to perform robust speech analysis. Speech recordings from 68 PD patients were captured from 2012 to 2016 in four recording sessions. The performance of the speaker models is evaluated according to two clinical rating scales: the Unified Parkinson’s Diseae Rating Scale (UPDRS) and a modified version of the Frenchay Dysarthria Assessment (m-FDA) scale. According to the results, it is possible to assess the disease progression from speech with Pearson’s correlations of up to \(r=0.51\). This study suggests that it is worth to continue working on the development of mobile-based tools for the continuous and unobtrusive monitoring of Parkinson’s patients.

Keywords

Parkinson’s disease Monitoring Mobile device Speaker model 

Notes

Acknowledgments

This work was financed by COLCIENCIAS through the project N o 111556933858. The work reported here was started at JSALT 2016, and was supported by JHU via grants from DARPA (LORELEI), Microsoft, Amazon, Google and Facebook. Thanks also to CODI from University of Antioquia by the grant Numbers 2015–7683 and PRV16-2-01.

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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • T. Arias-Vergara
    • 1
    Email author
  • P. Klumpp
    • 2
  • J. C. Vásquez-Correa
    • 1
    • 2
  • J. R. Orozco-Arroyave
    • 1
    • 2
  • E. Nöth
    • 2
  1. 1.Faculty of EngineeringUniversidad de Antioquia UdeAMedellínColombia
  2. 2.Pattern Recognition LabFriedrich-Alexander-Universität Erlangen-NürnbergErlangenGermany

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