Publication: A Prototype for the Voice Analysis Diagnosis of Alzheimer’s Disease
Loading...
Date
2018-04-26
Authors
Martínez-Sánchez, Francisco ; García Meilán, Juan José ; Carro, Juan ; Ivanova, Olga
item.page.secondaryauthor
item.page.director
Publisher
IOS Press
publication.page.editor
publication.page.department
DOI
https://doi.org/10.3233/JAD-180037
item.page.type
info:eu-repo/semantics/article
Description
©<2018>. This manuscript version is made available under the CC-BY license http://creativecommons.org/licenses/ by /4.0/
This document is the Accepted version of a Published Work that appeared in final form in [Journal of Alzheimer’s Disease]. To access the final edited and published work see [https://doi.org/10.3233/JAD-180037]
Abstract
Background: Speech variations enable us to map the performance of cognitive processes of syntactic, semantic, phonological, and articulatory planning and execution. Speaking is one of the first functions to be affected by neurodegenerative complaints such as Alzheimer’s disease (AD), which makes the speech a highly promising biomarker for detecting the illness before the first preclinical symptoms appear.
Objective: This paper has sought to develop and validate a technological prototype that adopts an automated approach to speech analysis among older people.
Methods: It uses a mathematical algorithm based on certain discriminatory variables to estimate the probability of developing AD.
Results and Conclusion: This device may be used at a preclinical stage by non-expert health professionals to determine the likelihood of the onset of AD.
publication.page.subject
Citation
Journal of Alzheimer’s Disease 64 (2018) 473–481
item.page.embargo
Collections
Ir a Estadísticas
Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by-nc-nd/4.0/