Memorias de investigación
Ponencias en congresos:
Detecting Neuromotor Disease from Speech Articulation
Año:2017

Áreas de investigación
  • Ingenierías,
  • Humanidades y ciencias sociales

Datos
Descripción
Speech articulation may be an important resource to study neuromotor activity in relation with neurological diseases, such as Parkinson?s, Alzheimer?s or Amyotrophic Lateral Sclerosis. Through the present work a biomechanical model for the joint structure of the jaw and tongue is introduced. This model allows putting into relation formant trajectories with jaw-tongue kinematics in terms of dorso-ventral and rostro-caudal movements of the structure. The reconstruction of the absolute velocity of the system from inverse filtering estimates of the first two formants allows the introduction of the velocity distribution histograms as descriptors of articulation behavior. A study case using recordings separated in time from a patient suffering from Amyotrophic Lateral Sclerosis, compared to distributions from a normative control is presented. It may be seen that patient?s distributions show larger contents for low ranges of velocity and smaller contents for high velocity ranges compared to the control distribution. Global comparisons of velocity distribution profiles between the control and patient?s records using Information Theory measurements may be used to monitor illness conditions and progress.
Internacional
Si
Nombre congreso
Subsidia 2017
Tipo de participación
960
Lugar del congreso
Málaga, Spain
Revisores
Si
ISBN o ISSN
978-3-319-46668-2
DOI
Fecha inicio congreso
21/06/2017
Fecha fin congreso
23/06/2017
Desde la página
1
Hasta la página
6
Título de las actas
Proceedings of SUBSIDIA 2017

Esta actividad pertenece a memorias de investigación

Participantes
  • Autor: Pedro Gomez Vilda UPM
  • Autor: Daniel Palacios Alonso UPM
  • Autor: Andres Gomez Rodellar UPM
  • Autor: Cristina Carmona Duarte Universidad de Las Palmas de Gran Canaria
  • Autor: Victor Nieto Lluis UPM
  • Autor: Ana Rita Londral University of Lisbon
  • Autor: Miguel Ángel Ferrer Ballester Universidad de Las Palmas de Gran Canaria
  • 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: Arquitectura y Tecnología de Sistemas Informáticos