Classification of normal swallowing and oropharyngeal dysphagia using wavelet

dc.contributor.authorSpadotto, Andre Augusto
dc.contributor.authorGatto, Ana Rita [UNESP]
dc.contributor.authorGuido, Rodrigo Capobianco
dc.contributor.authorMontagnoli, Arlindo Neto [UNESP]
dc.contributor.authorCola, Paula Cristina [UNESP]
dc.contributor.authorPereira, Jose Carlos
dc.contributor.authorSchelp, Arthur Oscar [UNESP]
dc.contributor.institutionUniversidade de São Paulo (USP)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-05-20T14:01:44Z
dc.date.available2014-05-20T14:01:44Z
dc.date.issued2009-01-01
dc.description.abstractOropharyngeal dysphagia is characterized by any alteration in swallowing dynamics which may lead to malnutrition and aspiration pneumonia. Early diagnosis is crucial for the prognosis of patients with dysphagia, and the best method for swallowing dynamics assessment is swallowing videofluoroscopy, an exam performed with X-rays. Because it exposes patients to radiation, videofluoroscopy should not be performed frequently nor should it be prolonged. This study presents a non-invasive method for the pre-diagnosis of dysphagia based on the analysis of the swallowing acoustics, where the discrete wavelet transform plays an important role to increase sensitivity and specificity in the identification of dysphagic patients. (C) 2008 Elsevier B.V. All rights reserved.en
dc.description.affiliationUniv São Paulo, USP, Dept Elect Engn, BR-13566590 São Paulo, Brazil
dc.description.affiliationSão Paulo State Univ, Dept Neurol & Psychiat, UNESP, BR-18618970 São Paulo, Brazil
dc.description.affiliationSão Paulo State Univ, Dept Stat Appl Math & Computat, UNESP, BR-13506900 São Paulo, Brazil
dc.description.affiliationUniv São Paulo, USP, Inst Phys São Carlos, BR-13566590 São Paulo, Brazil
dc.description.affiliationUnespSão Paulo State Univ, Dept Neurol & Psychiat, UNESP, BR-18618970 São Paulo, Brazil
dc.description.affiliationUnespSão Paulo State Univ, Dept Stat Appl Math & Computat, UNESP, BR-13506900 São Paulo, Brazil
dc.format.extent75-82
dc.identifierhttp://dx.doi.org/10.1016/j.amc.2007.10.065
dc.identifier.citationApplied Mathematics and Computation. New York: Elsevier B.V., v. 207, n. 1, p. 75-82, 2009.
dc.identifier.doi10.1016/j.amc.2007.10.065
dc.identifier.issn0096-3003
dc.identifier.lattes5248388716505709
dc.identifier.lattes6542086226808067
dc.identifier.orcid0000-0002-0924-8024
dc.identifier.urihttp://hdl.handle.net/11449/21792
dc.identifier.wosWOS:000262613200006
dc.language.isoeng
dc.publisherElsevier B.V.
dc.relation.ispartofApplied Mathematics and Computation
dc.relation.ispartofjcr2.300
dc.relation.ispartofsjr1,065
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectSwallowing dynamicsen
dc.subjectDysphagiaen
dc.subjectDiscrete wavelet transformen
dc.subjectPattern classificationen
dc.titleClassification of normal swallowing and oropharyngeal dysphagia using waveleten
dc.typeArtigo
dcterms.licensehttp://www.elsevier.com/about/open-access/open-access-policies/article-posting-policy
dcterms.rightsHolderElsevier B.V.
unesp.author.lattes5248388716505709[7]
unesp.author.lattes6542086226808067[3]
unesp.author.orcid0000-0002-7010-5874[5]
unesp.author.orcid0000-0002-0924-8024[3]
unesp.author.orcid0000-0001-5928-7497[7]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Medicina, Botucatupt

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