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Gómez Vilda, Pedro ORCID: https://orcid.org/0000-0003-3283-378X, Mekyska, Jiri, Fernández, José M., Palacios Alonso, Daniel, Gómez Rodellar, Andrés, Rodellar Biarge, M. Victoria
ORCID: https://orcid.org/0000-0001-9384-3290, Galaz, Zoltan, Smekal, Zdenek, Elisova, Ilona, Kostalova, Milena and Rektorova, Irene
(2017).
Parkinson Disease detetion from speech articulation neuromechanics.
"Frontiers in neuroinformatics", v. 11
;
pp..
ISSN 1662-5196.
https://doi.org/10.3389/fninf.2017.00056.
Title: | Parkinson Disease detetion from speech articulation neuromechanics |
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Author/s: |
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Item Type: | Article |
Título de Revista/Publicación: | Frontiers in neuroinformatics |
Date: | 2017 |
ISSN: | 1662-5196 |
Volume: | 11 |
Subjects: | |
Freetext Keywords: | Neurologic disease; Parkinson disease; Speech neuromotor activity; Aging voice; Hypokinetic dysarthria; Rndom least squares feed-forward networks |
Faculty: | E.T.S. de Ingenieros Informáticos (UPM) |
Department: | Arquitectura y Tecnología de Sistemas Informáticos |
Creative Commons Licenses: | Recognition - No derivative works - Non commercial |
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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 from patients affected by neurodegenerative illnesses, as Parkinson Disease.
Item ID: | 50693 |
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DC Identifier: | https://oa.upm.es/50693/ |
OAI Identifier: | oai:oa.upm.es:50693 |
DOI: | 10.3389/fninf.2017.00056 |
Official URL: | https://www.frontiersin.org/articles/10.3389/fninf... |
Deposited by: | Memoria Investigacion |
Deposited on: | 21 Dec 2018 10:28 |
Last Modified: | 30 Apr 2019 12:38 |