Memorias de investigación
Artículos en revistas:
Neuromechanical Modelling of Articulatory Movements from Surface Electromyography and Speech Formants
Año:2019

Áreas de investigación
  • Biomedicina,
  • Ciencias de la computación y tecnología informática

Datos
Descripción
Speech articulation is produced by the movements of muscles in the larynx, pharynx, mouth and face. Therefore speech shows acoustic features as formants which are directly related with neuromotor actions of these muscles. The first two formants are strongly related with jaw and tongue muscular activity. Speech can be used as a simple and ubiquitous signal, easy to record and process, either locally or on e-Health platforms. This fact may open a wide set of applications in the study of functional grading and monitoring neurodegenerative diseases. A relevant question, in this sense, is how far speech correlates and neuromotor actions are related. This preliminary study is intended to find answers to this question by using surface electromyographic recordings on the masseter and the acoustic kinematics related with the first formant. It is shown in the study that relevant correlations can be found among the surface electromyographic activity (dynamic muscle behavior) and the positions and first derivatives of the first formant (kinematic variables related to vertical velocity and acceleration of the joint jaw and tongue biomechanical system). As an application example, it is shown that the probability density function associated to these kinematic variables is more sensitive than classical features as Vowel Space Area (VSA) or Formant Centralization Ratio (FCR) in characterizing neuromotor degeneration in Parkinson?s Disease.
Internacional
Si
JCR del ISI
Si
Título de la revista
International Journal of Neural Systems
ISSN
0129-0657
Factor de impacto JCR
5,604
Información de impacto
Volumen
29
DOI
10.1142/S0129065718500399
Número de revista
2
Desde la página
1
Hasta la página
17
Mes
SIN MES
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Participantes
  • Autor: Pedro Gomez Vilda UPM
  • Autor: Andres Gomez Rodellar UPM
  • Autor: José Manuel Ferrández Vicente Universidad Politécnica de Cartagena
  • Autor: Jiri Mekyska University of Brno
  • Autor: Daniel Palacios Alonso Universidad Rey Juan Carlos
  • Autor: M. Victoria Rodellar Biarge UPM
  • Autor: Agustin Alvarez Marquina UPM
  • Autor: Ilona Eliasova University of Brno
  • Autor: Milena Kostalova University of Brno
  • Autor: Irena Rektorova University of Brno

Grupos de investigación, Departamentos, Centros e Institutos de I+D+i relacionados
  • Creador: Grupo de Investigación: Informática Aplicada al Procesado de Señal e Imagen
  • Departamento: Ingeniería Mecánica