Changes in phonation and their relations with Progress of Parkinson's disease

Galaz, Zoltan, Mekyska, Jiri, Zvoncak, Vojtech, Mucha, Jan, Kiska, Tomas, Smekal, Zdenek, Eliasova, Ilona, Mrackova, Martina, Kostalova, Milena, Rektorova, Irena, Faúndez Zanuy, Marcos, Alonso Hernández, Jesús B. and Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X (2018). Changes in phonation and their relations with Progress of Parkinson's disease. "Applied Sciences", v. 8 (n. 12); pp. 1-18. ISSN 2076-3417. https://doi.org/10.3390/app8122339.

Description

Title: Changes in phonation and their relations with Progress of Parkinson's disease
Author/s:
  • Galaz, Zoltan
  • Mekyska, Jiri
  • Zvoncak, Vojtech
  • Mucha, Jan
  • Kiska, Tomas
  • Smekal, Zdenek
  • Eliasova, Ilona
  • Mrackova, Martina
  • Kostalova, Milena
  • Rektorova, Irena
  • Faúndez Zanuy, Marcos
  • Alonso Hernández, Jesús B.
  • Gómez Vilda, Pedro https://orcid.org/0000-0003-3283-378X
Item Type: Article
Título de Revista/Publicación: Applied Sciences
Date: December 2018
ISSN: 2076-3417
Volume: 8
Subjects:
Freetext Keywords: Phonation; Acoustic analysis; Follow-up study; Hypokinetic dysarthria; Parkinson’s disease
Faculty: E.T.S. de Ingenieros Informáticos (UPM)
Department: Arquitectura y Tecnología de Sistemas Informáticos
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Hypokinetic dysarthria, which is associated with Parkinson’s disease (PD), affects several speech dimensions, including phonation. Although the scientific community has dealt with a quantitative analysis of phonation in PD patients, a complex research revealing probable relations between phonatory features and progress of PD is missing. Therefore, the aim of this study is to explore these relations and model them mathematically to be able to estimate progress of PD during a two-year follow-up. We enrolled 51 PD patients who were assessed by three commonly used clinical scales. In addition, we quantified eight possible phonatory disorders in five vowels. To identify the relationship between baseline phonatory features and changes in clinical scores, we performed a partial correlation analysis. Finally, we trained XGBoost models to predict the changes in clinical scores during a two-year follow-up. For two years, the patients’ voices became more aperiodic with increased microperturbations of frequency and amplitude. Next, the XGBoost models were able to predict changes in clinical scores with an error in range 11–26%. Although we identified some significant correlations between changes in phonatory features and clinical scores, they are less interpretable. This study suggests that it is possible to predict the progress of PD based on the acoustic analysis of phonation. Moreover, it recommends utilizing the sustained vowel /i/ instead of /a/.

Funding Projects

Type
Code
Acronym
Leader
Title
Government of Spain
TEC2016-77791-C4-4-R
Unspecified
Universidad Politécnica de Madrid
Descripción biométrica del locutor basada en correlatos de acción motora y estado cognitivo con aplicaciones en seguridad y rehabilitación
Government of Spain
TEC2016-77791-C4-2-R
Unspecified
Fundacio Tecnocampus Mataro-Maresme
Generación de un marco unificado para el desarrollo de patrones biométricos de comportamiento
Government of Spain
TEC2016-77791-C4-1-R
Unspecified
Universidad de las Palmas de Gran Canaria
Generación de un marco unificado para el desarrollo de patrones biométricos de comportamiento

More information

Item ID: 54670
DC Identifier: https://oa.upm.es/54670/
OAI Identifier: oai:oa.upm.es:54670
DOI: 10.3390/app8122339
Official URL: https://www.researchgate.net/publication/329117834...
Deposited by: Memoria Investigacion
Deposited on: 30 Apr 2019 07:01
Last Modified: 30 Apr 2019 07:01
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