Monitoring neurological disease in phonation

  • Authors:
  • Pedro Gómez-Vilda;Roberto Fernández-Baíllo;José Manuel Ferrández-Vicente;Victoria Rodellar-Biarge;Agustín Álvarez-Marquina;Luis Miguel Mazaira-Fernández;Rafael Martínez-Olalla;Cristina Muñoz-Mulas

  • Affiliations:
  • Grupo de Informática Aplicada al Tratamiento de Señal e Imagen, Facultad de Informática, Universidad Politécnica de Madrid, Madrid;Grupo de Informática Aplicada al Tratamiento de Señal e Imagen, Facultad de Informática, Universidad Politécnica de Madrid, Madrid;Dpto. Electrónica, Tecnología de Computadoras, Univ. Politécnica de Cartagena, Cartagena;Grupo de Informática Aplicada al Tratamiento de Señal e Imagen, Facultad de Informática, Universidad Politécnica de Madrid, Madrid;Grupo de Informática Aplicada al Tratamiento de Señal e Imagen, Facultad de Informática, Universidad Politécnica de Madrid, Madrid;Grupo de Informática Aplicada al Tratamiento de Señal e Imagen, Facultad de Informática, Universidad Politécnica de Madrid, Madrid;Grupo de Informática Aplicada al Tratamiento de Señal e Imagen, Facultad de Informática, Universidad Politécnica de Madrid, Madrid;Grupo de Informática Aplicada al Tratamiento de Señal e Imagen, Facultad de Informática, Universidad Politécnica de Madrid, Madrid

  • Venue:
  • IWINAC'11 Proceedings of the 4th international conference on Interplay between natural and artificial computation: new challenges on bioinspired applications - Volume Part II
  • Year:
  • 2011

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Abstract

It is well known that many neurological diseases leave a fingerprint in voice and speech production. The dramatic impact of these pathologies in life quality is a growing concert. Many techniques have been designed for the detection, diagnose and monitoring the neurological disease. Most of them are costly or difficult to extend to primary services. The present paper shows that some neurological diseases can be traced a the level of voice production. The detection procedure would be based on a simple voice test. The availability of advanced tools and methodologies to monitor the organic pathology of voice would facilitate the implantation of these tests. The paper hypothesizes some of the underlying mechanisms affecting the production of voice and presents a general description of the methodological foundations for the voice analysis system which can estimate correlates to the neurological disease. A case of study is presented from spasmodic dysphonia to illustrate the possibilities of the methodology to monitor other neurological problems as well.