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

Carmona Duarte, Cristina, Ferrer Ballester, Miguel Ángel, Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X, Van Gemmert, Arend. W. A. and Plamondon, Réjean (2018). A common framework to evaluate Parkinson’s disease in voice and handwriting. En: "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.

Descripción

Título: A common framework to evaluate Parkinson’s disease in voice and handwriting
Autor/es:
Tipo de Documento: Ponencia en Congreso o Jornada (Artículo)
Título del Evento: 1st International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018)
Fechas del Evento: 13-17 May 2018
Lugar del Evento: Montreal, Canada
Título del Libro: Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018)
Fecha: 2018
ISBN: 1-895193-06-0
Materias:
ODS:
Palabras Clave Informales: Sigma-lognormal model; Kinematic theory of rapid movements; Articulation; Parkinson; Voice; Handwriting
Escuela: E.T.S. de Ingenieros Informáticos (UPM)
Departamento: Arquitectura y Tecnología de Sistemas Informáticos
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

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.

Proyectos asociados

Tipo
Código
Acrónimo
Responsable
Título
Gobierno de España
TEC2016-77791-C4-4-R
Sin especificar
Universidad Politécnica de Madrid
Descripción biométrica del locutor basada en correlatos de acción motora y estado cognitivo con aplicaciones en seguridad y rehabilitación
Gobierno de España
TEC2016-77791-C4-1-R
Sin especificar
Universidad de Las Palmas de Gran Canaria
Generación de un marco unificado para el desarrollo de patrones biométricos de comportamiento

Más información

ID de Registro: 54677
Identificador DC: https://oa.upm.es/54677/
Identificador OAI: oai:oa.upm.es:54677
URL Oficial: https://www.researchgate.net/publication/325259120...
Depositado por: Memoria Investigacion
Depositado el: 08 May 2019 09:24
Ultima Modificación: 08 May 2019 09:24