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.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Bobadilla, J., Gómez, P., Godino, J.I.: Mapaci: A Real Time e-Health Application to Assist Throat Complaint Patients. In: Proc. of ICIW 2007 (2007)
Colton, R.H., Kasper, J.K., Leonard, R.: Understanding voice problems, pp. 107–151. Williams and Wilkins, Baltimore (1990)
Das, R.: A comparison of multiple classification methods for diagnosis of Parkinson disease. Expert Systems with Applications 37, 1568–1572 (2010)
Gómez, P., Fernández, R., Rodellar, V., Godino, J.I.: Evaluating the grade of voice pathology from the glottal-source spectral profile. In: Proc of AVFA 2009, Madrid, pp. 161–164 (April 2009)
Gómez, P., Fernández-Baíllo, R., Rodellar, V., Nieto, V., Álvarez, A., Mazaira, L.M., Martínez, R., Godino, J.I.: Glottal Source Biometrical Signature for Voice Pathology Detection. Speech Communication 51, 759–781 (2009)
Kloppel, S., Stonnington, C.M., Chu, C., Draganski, B., Scahill, R.I., Rohrer, J.D., Fox, N.C., Jack, C.R., Ashburner, J., Frackowiak, R.S.J.: Automatic classification of MR scans in Alzheimer’s disease. Brain 131(3), 681–689 (2008)
Ludlow, C. L. Spasmodic Dysphonia is a Neurological Disorder. National Spasmodic Dysphonia Association, www.dysphonia.org (retrieved 2.1.2011)
Project MAPACI, http://www.mapaci.com
Rosenfeld, D.B.: Neurolaryngology. Journal of Ear Nose and Throat 66(8), 323–326 (1987)
World Health Organization, http://www.who.int/healthinfo
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2011 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Gómez-Vilda, P. et al. (2011). Monitoring Neurological Disease in Phonation. In: Ferrández, J.M., Álvarez Sánchez, J.R., de la Paz, F., Toledo, F.J. (eds) New Challenges on Bioinspired Applications. IWINAC 2011. Lecture Notes in Computer Science, vol 6687. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-21326-7_16
Download citation
DOI: https://doi.org/10.1007/978-3-642-21326-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-21325-0
Online ISBN: 978-3-642-21326-7
eBook Packages: Computer ScienceComputer Science (R0)