Paper Info
Title
Parkinson'S Disease Monitoring From Phonation Biomechanics
Abstract
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.
Year
DOI
Venue
2015
10.1007/978-3-319-18914-7_25
ARTIFICIAL COMPUTATION IN BIOLOGY AND MEDICINE, PT I (IWINAC 2015)
Keywords
Field
DocType
Neurologic disease, Parkinson's Disease, Speech neuromotor activity, Aging voice, Dysarthria
Population,Disease,Parkinson's disease,Dystonia,Computer science,Presbyphonia,Artificial intelligence,Physical medicine and rehabilitation,Phonation,Biomechanics,Dysarthria,Machine learning
Conference
Volume
ISSN
Citations 
9107
0302-9743
2
PageRank 
References 
Authors
0.41
0
7
Name
Order
Citations
PageRank
Pedro Gómez Vilda128952.48
M. C. Vicente-Torcal220.41
José Manuel Ferrández De Vicente34211.19
Agustín Álvarez Marquina46511.29
María Victoria Rodellar Biarge54413.67
Victor Nieto Lluis65914.14
Rafael Martínez-Olalla77211.95