Parkinson¿s disease monitoring from phonation biomechanics
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
- Volumen: 9107
- Fecha: 01 enero 2015
- Páginas: 238-248
- ISSN: 16113349 03029743
- ISBN: 9783319189130
- Tipo de fuente: Serie de libros
- DOI: 10.1007/978-3-319-18914-7_25
- Tipo de documento: Documento de conferencia
- Editorial: Springer Verlag service@springer.de
© Springer International Publishing Switzerland 2015. Organic as well as neurologic diseases leave important correlates in phonation. Parkinson¿s Disease (PD) may leave marks in vocal fold dystonia and tremor. Biomechanical parameters monitoring vocal fold tension and unbalance, as well as tremor are defined in the study. These correlates are known to be of help in tracing the neuromotor activity of both laryngeal and articulatory pathways. As the population affected by PD is mainly above 60, the main problem found is how to differentiate PD phonation correlates from aging voice (presbyphonia). An important objective is to explore which correlates react differentially to PD than to aging voice. As an example a study is conducted on a set of male PD patients being monitored in short intervals by recording their phonation. The results of these longitudinal studies are presented and discussed.