Neurological disease detection and monitoring from voice production

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Abstract

The dramatic impact of neurological degenerative pathologies in life quality is a growing concern. It is well known that many neurological diseases leave a fingerprint in voice and speech production. 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 attention medical services. Through the present paper it will be shown how some neurological diseases can be traced at the level of phonation. 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 that some of the underlying mechanisms affecting the production of voice produce measurable correlates in vocal fold biomechanics. A general description of the methodological foundations for the voice analysis system which can estimate correlates to the neurological disease is shown. Some study cases will be presented to illustrate the possibilities of the methodology to monitor neurological diseases by voice. © 2011 Springer-Verlag.

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Gómez-Vilda, P., Rodellar-Biarge, V., Nieto-Lluis, V., Muñoz-Mulas, C., Mazaira-Fernández, L. M., Ramírez-Calvo, C., … Toribio-Díaz, E. (2011). Neurological disease detection and monitoring from voice production. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7015 LNAI, pp. 1–8). https://doi.org/10.1007/978-3-642-25020-0_1

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