Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/74205
DC FieldValueLanguage
dc.contributor.authorLopez-de-Ipina, K.en_US
dc.contributor.authorAlonso, J. B.en_US
dc.contributor.authorSole-Casals, J.en_US
dc.contributor.authorBarroso, N.en_US
dc.contributor.authorHenríquez Sánchez, Patriciaen_US
dc.contributor.authorFaundez-Zanuy, M.en_US
dc.contributor.authorTravieso González, Carlos Manuelen_US
dc.contributor.authorEcay-Torres, M.en_US
dc.contributor.authorMartinez-Lage, P.en_US
dc.contributor.authorEguiraun, H.en_US
dc.date.accessioned2020-09-01T09:24:55Z-
dc.date.available2020-09-01T09:24:55Z-
dc.date.issued2015en_US
dc.identifier.issn1866-9956en_US
dc.identifier.otherWoS-
dc.identifier.urihttp://hdl.handle.net/10553/74205-
dc.description.abstractAlzheimer's disease (AD) is the most prevalent form of progressive degenerative dementia; it has a high socioeconomic impact in Western countries. Therefore, it is one of the most active research areas today. Alzheimer's disease is sometimes diagnosed by excluding other dementias, and definitive confirmation is only obtained through a postmortem study of the brain tissue of the patient. The work presented here is part of a larger study that aims to identify novel technologies and biomarkers for early AD detection, and it focuses on evaluating the suitability of a new approach for early diagnosis of AD by noninvasive methods. The purpose is to examine, in a pilot study, the potential of applying machine learning algorithms to speech features obtained from suspected Alzheimer's disease sufferers in order to help diagnose this disease and determine its degree of severity. Two human capabilities relevant in communication have been analyzed for feature selection: spontaneous speech and emotional response. The experimental results obtained were very satisfactory and promising for the early diagnosis and classification of AD patients.en_US
dc.languageengen_US
dc.relation.ispartofCognitive Computationen_US
dc.sourceCognitive Computation [ISSN 1866-9956], v. 7 (1), p. 44-55, (Febrero 2015)en_US
dc.subject32 Ciencias médicasen_US
dc.subject33 Ciencias tecnológicasen_US
dc.subject.otherDementiaen_US
dc.subject.otherAlzheimer'S Disease Diagnosisen_US
dc.subject.otherSpontaneous Speechen_US
dc.subject.otherEmotion Recognitionen_US
dc.titleOn automatic diagnosis of Alzheimer's Disease based on spontaneous speech analysis and emotional temperatureen_US
dc.typeinfo:eu-repo/semantics/Articleen_US
dc.typeArticleen_US
dc.identifier.doi10.1007/s12559-013-9229-9en_US
dc.identifier.isi000349525500006-
dc.identifier.eissn1866-9964-
dc.description.lastpage55en_US
dc.identifier.issue1-
dc.description.firstpage44en_US
dc.relation.volume7en_US
dc.investigacionCiencias de la Saluden_US
dc.type2Artículoen_US
dc.contributor.daisngid1399740-
dc.contributor.daisngid418703-
dc.contributor.daisngid642260-
dc.contributor.daisngid1625336-
dc.contributor.daisngid1432987-
dc.contributor.daisngid259157-
dc.contributor.daisngid265761-
dc.contributor.daisngid6802840-
dc.contributor.daisngid499760-
dc.contributor.daisngid4627708-
dc.description.numberofpages12en_US
dc.utils.revisionen_US
dc.contributor.wosstandardWOS:Lopez-de-Ipina, K-
dc.contributor.wosstandardWOS:Alonso, JB-
dc.contributor.wosstandardWOS:Sole-Casals, J-
dc.contributor.wosstandardWOS:Barroso, N-
dc.contributor.wosstandardWOS:Henriquez, P-
dc.contributor.wosstandardWOS:Faundez-Zanuy, M-
dc.contributor.wosstandardWOS:Travieso, CM-
dc.contributor.wosstandardWOS:Ecay-Torres, M-
dc.contributor.wosstandardWOS:Martinez-Lage, P-
dc.contributor.wosstandardWOS:Eguiraun, H-
dc.date.coverdateFebrero 2015en_US
dc.identifier.ulpgces
dc.description.sjr0,628
dc.description.jcr1,933
dc.description.sjrqQ2
dc.description.jcrqQ2
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptSeñales y Comunicaciones-
crisitem.author.deptNutrición-
crisitem.author.deptIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.deptCiencias Clínicas-
crisitem.author.deptIDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptSeñales y Comunicaciones-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU de Investigaciones Biomédicas y Sanitarias-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
crisitem.author.fullNameHenríquez Sánchez, Patricia-
crisitem.author.fullNameTravieso González, Carlos Manuel-
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