Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/105788
Title: A common framework to evaluate Parkinson’s disease in voice and handwriting
Authors: Carmona Duarte, María Cristina 
Ferrer Ballester, Miguel Ángel 
Gómez-Vilda, Pedro
Van Gemmer, Arend W.A.
Plamondon, Réjean
UNESCO Clasification: 3325 Tecnología de las telecomunicaciones
1203 Ciencia de los ordenadores
Keywords: Sigma-lognormal model
kinematic theory of rapid movements
articulation;
Parkinson
Voice, et al
Issue Date: 2018
Conference: ICPRAI 2018 - International Conference on Pattern Recognition and Artificial Intelligence 
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.
URI: http://hdl.handle.net/10553/105788
ISBN: 1-895193-06-0
Source: Proceedings of 1st International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI 2018)
Appears in Collections:Actas de congresos
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