Parkinson Disease Detection from Speech Articulation Neuromechanics

Parkinson Disease Detection from Speech Articulation Neuromechanics

Aim: The research described is intended to give a description of articulation dynamics as a correlate of the kinematic behavior of the jaw-tongue biomechanical system, encoded as a probability distribution of an absolute joint velocity. This distribution may be used in detecting and grading speech f...

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Bibliographic Details
Main Authors: Pedro Gómez-Vilda, Jiri Mekyska, José M. Ferrández, Daniel Palacios-Alonso, Andrés Gómez-Rodellar, Victoria Rodellar-Biarge, Zoltan Galaz, Zdenek Smekal, Ilona Eliasova, Milena Kostalova, Irena Rektorova
Format: Article
Language:English
Published: Frontiers Media S.A. 2017-08-01
Series:Frontiers in Neuroinformatics
Subjects:
neurologic disease
Parkinson disease
speech neuromotor activity
aging voice
hypokinetic dysarthria
random least squares feed-forward networks
Online Access:http://journal.frontiersin.org/article/10.3389/fninf.2017.00056/full

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http://journal.frontiersin.org/article/10.3389/fninf.2017.00056/full

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