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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.
| Título: | A common framework to evaluate Parkinson’s disease in voice and handwriting |
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| Autor/es: |
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| 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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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.
| ID de Registro: | 54677 |
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| 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 |
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