A common framework to evaluate Parkinson’s disease in voice and handwriting

Carmona Duarte, Cristina and Ferrer Ballester, Miguel Ángel and Gómez Vilda, Pedro and Van Gemmert, Arend. W. A. and Plamondon, Réjean (2018). A common framework to evaluate Parkinson’s disease in voice and handwriting. In: "1st International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018)", 13-17 May 2018, Montreal, Canada. ISBN 1-895193-06-0. pp. 795-799.

Description

Title: A common framework to evaluate Parkinson’s disease in voice and handwriting
Author/s:
  • Carmona Duarte, Cristina
  • Ferrer Ballester, Miguel Ángel
  • Gómez Vilda, Pedro
  • Van Gemmert, Arend. W. A.
  • Plamondon, Réjean
Item Type: Presentation at Congress or Conference (Article)
Event Title: 1st International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018)
Event Dates: 13-17 May 2018
Event Location: Montreal, Canada
Title of Book: Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018)
Date: 2018
ISBN: 1-895193-06-0
Subjects:
Freetext Keywords: Sigma-lognormal model; Kinematic theory of rapid movements; Articulation; Parkinson; Voice; Handwriting
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

Parkinson’s disease is manifested as well in handwriting as in voice. Previous researches have carried out different procedures to estimate the dysfunctions of the illness in voice and handwriting separately. This paper proposes one parameter to evaluate the influence of the illness on both voice and handwriting as the symptoms affecting both has a common origin. Specifically, the parameter proposed is based on the Kinematic Theory of rapid human movements. It allows to quantify the deficits caused by Parkinson’s disease in both handwriting and voice. The velocity profile obtained to characterize voice between the first and second formant is computed by a spatio-temporal approximation. In handwriting, the velocity profile is obtained from the sampled positions of the pen on a digital tablet. Once the velocity profile is derived, it is transformed to fit into the lognormal model in which similarities between voice and handwriting has been found for performance of these tasks by Parkinson’s patients. The experiments with different databases of voice and handwriting recorded from different patients in different labs display encouraging results.

Funding Projects

TypeCodeAcronymLeaderTitle
Government of SpainTEC2016-77791-C4-4-RUnspecifiedUniversidad Politécnica de MadridDescripción biométrica del locutor basada en correlatos de acción motora y estado cognitivo con aplicaciones en seguridad y rehabilitación
Government of SpainTEC2016-77791-C4-1-RUnspecifiedUniversidad de Las Palmas de Gran CanariaGeneración de un marco unificado para el desarrollo de patrones biométricos de comportamiento

More information

Item ID: 54677
DC Identifier: http://oa.upm.es/54677/
OAI Identifier: oai:oa.upm.es:54677
Official URL: https://www.researchgate.net/publication/325259120_A_common_framework_to_evaluate_Parkinson's_disease_in_voice_and_handwriting
Deposited by: Memoria Investigacion
Deposited on: 08 May 2019 09:24
Last Modified: 08 May 2019 09:24
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