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http://hdl.handle.net/10662/19050
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Campo DC | Valor | idioma |
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dc.contributor.author | Montaña, David | - |
dc.contributor.author | Campos Roca, Yolanda | - |
dc.contributor.author | Pérez Sánchez, Carlos Javier | - |
dc.date.accessioned | 2023-12-21T12:40:29Z | - |
dc.date.available | 2023-12-21T12:40:29Z | - |
dc.date.issued | 2018 | - |
dc.identifier.uri | http://hdl.handle.net/10662/19050 | - |
dc.description | Publicado en: Computer Methods and Programs in Biomedicine, Volume 154, February 2018, Pages 89-97. DOI https://doi.org/10.1016/j.cmpb.2017.11.010 | es_ES |
dc.description.abstract | Background and Objective: A new expert system is proposed to discriminate healthy people from people with Parkinson's Disease (PD) in early stages by using Diadochokinesis tests. Methods: The system is based on temporal and spectral features extracted from the Voice Onset Time (VOT) segments of /ka/ syllables, whose boundaries are delimited by a novel algorithm. For comparison purposes, the approach is applied also to /pa/ and /ta/ syllables. In order to develop and validate the system, a voice recording database composed of 27 individuals diagnosed with PD and 27 healthy controls has been collected. This database reflects an average disease stage of 1:85+ -0:55 according to Hoehn and Yahr scale. System design is based on feature extraction, feature selection and Support Vector Machine learning. Results: The novel VOT algorithm, based on a simple and computationally efficient approach, demonstrates accurate estimation of VOT boundaries on /ka/ syllables for both healthy and PD-affected speakers. The PD detection approach based on /k/ plosive consonant achieves the highest discrimination capability (92.2% using 10-fold cross-validation and 94.4% in the case of leave-one-out method) in comparison to the corresponding versions based on the other two plosives (/p/ and /t/). Conclusion: A high accuracy has been obtained on a database with a lower average disease stage than previous articulatory databases presented in the literature. | es_ES |
dc.description.sponsorship | This research has been supported by project MTM2014-56949-C3-3-R (MINECO) and projects IB16054, GR15052, and GR15106 (Junta de Extremadura/European Regional Development Funds, EU). | es_ES |
dc.format.extent | 26 p. | es_ES |
dc.format.mimetype | application/pdf | en |
dc.language.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.rights | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Experto en sistemas | es_ES |
dc.subject | Características acústicas | es_ES |
dc.subject | Clasificación | es_ES |
dc.subject | Diadochokinesis (DDK) | es_ES |
dc.subject | Enfermedad de Parkinson (EP) | es_ES |
dc.subject | Trastornos del habla | es_ES |
dc.subject | Expert system | es_ES |
dc.subject | Acoustic features | es_ES |
dc.subject | Classification | es_ES |
dc.subject | Parkinson's disease (PD) | es_ES |
dc.subject | Speech disorders | es_ES |
dc.title | A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease | es_ES |
dc.type | preprint | es_ES |
europeana.type | TEXT | en_US |
dc.rights.accessRights | openAccess | es_ES |
dc.subject.unesco | 6102.05 Patología del Lenguaje | es_ES |
dc.subject.unesco | 3207.11 Neuropatología | es_ES |
dc.subject.unesco | 2201 Acústica | es_ES |
dc.subject.unesco | 1207.02 Sistemas de Control | es_ES |
europeana.dataProvider | Universidad de Extremadura. España | es_ES |
dc.identifier.bibliographicCitation | Montaña, D., Campos-Roca, Y.; Pérez, C.J. (2018). A Diadochokinesis-based expert system considering articulatory features of plosive consonants for early detection of Parkinson's disease. Computer Methods and Programs in Biomedicine, https://doi.org/10.1016/j.cmpb.2017.11.010 (En prensa) | es_ES |
dc.type.version | submittedVersion | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Matemáticas | es_ES |
dc.contributor.affiliation | Universidad de Extremadura. Departamento de Tecnología de los Computadores y de las Comunicaciones | es_ES |
dc.identifier.doi | 10.1016/j.cmpb.2017.11.010 | - |
dc.identifier.publicationtitle | Computer Methods and Programs in Biomedicine | es_ES |
dc.identifier.publicationfirstpage | 1 | es_ES |
dc.identifier.publicationlastpage | 26 | es_ES |
dc.identifier.orcid | 0000-0003-1161-000X | es_ES |
dc.identifier.orcid | 0000-0001-6385-9080 | es_ES |
Colección: | DMATE - Artículos |
Archivos
Archivo | Descripción | Tamaño | Formato | |
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j_cmpb_2017_11_010_preprint.pdf | 511,59 kB | Adobe PDF | Descargar |
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