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Memorias de investigación
Artículos en revistas:
Characterization of Parkinson's disease dysarthria in terms of speecharticulation kinematics
Año:2019
Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática
Datos
Descripción
tSpeech is a vehicular tool to detect neurological degeneration using certain accepted biomarkers derivedfrom sustained vowels, diadochokinetic exercises or running speech. Classically the Vowel Space Area(VSA) and the Formant Centralization Ratio (FCR) have been proposed to describe dysarthria in Parkin-son?s Disease (PD). These features are based in global estimations of the positions of the first two formantsin the representation of a vowel triangle. The aim of the paper is to give a description of speech articula-tion dynamics as a probability density function of the kinematic features derived from the evolution offormants in the time domain. The statistical distribution of the dynamic behavior of articulation featurescan be used to estimate differences between speech features from subjects with Parkinson?s dysarthriarelative to normative subjects. Utterances of vowels [a:, i:, u:] from a subset of 16 subjects with PD (8males and 8 females), confronted to a subset of 16 normative subjects (8 males and 8 females) haveshown that the statistical distributions of dynamic articulation features can be differentiated using infor-mation theory based estimations such as Kullback-Leibler and Jensen-Shannon Divergence (JSD). Theseestimations allow establishing relevant statistical differences between PD and normative subjects bothfor males and females, improving the differentiation capability of VSA and FCR.
Internacional
Si
JCR del ISI
Si
Título de la revista
Biomedical Signal Processing And Control
ISSN
1746-8094
Factor de impacto JCR
3,137
Información de impacto
Volumen
DOI
10.1016/j.bspc.2019.04.029
Número de revista
Desde la página
312
Hasta la página
320
Mes
SIN MES
Ranking
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Participantes
  • Autor: Pedro Gomez Vilda (UPM)
  • Autor: Jiri Mekyska (University of Brno)
  • Autor: Andres Gomez Rodellar (UPM)
  • Autor: Daniel Palacios Alonso (Universidad Rey Juan Carlos)
  • Autor: M. Victoria Rodellar Biarge (UPM)
  • Autor: Agustin Alvarez Marquina (UPM)
Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Centro o Instituto I+D+i: Centro de tecnología Biomédica CTB
  • Departamento: Ingeniería Mecánica
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