Classification of normal swallowing and oropharyngeal dysphagia using wavelet
Contribuinte(s) |
Universidade Estadual Paulista (UNESP) |
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Data(s) |
20/05/2014
20/05/2014
01/01/2009
|
Resumo |
Oropharyngeal 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. |
Formato |
75-82 |
Identificador |
http://dx.doi.org/10.1016/j.amc.2007.10.065 Applied Mathematics and Computation. New York: Elsevier B.V., v. 207, n. 1, p. 75-82, 2009. 0096-3003 http://hdl.handle.net/11449/21792 10.1016/j.amc.2007.10.065 WOS:000262613200006 |
Idioma(s) |
eng |
Publicador |
Elsevier B.V. |
Relação |
Applied Mathematics and Computation |
Direitos |
closedAccess |
Palavras-Chave | #Swallowing dynamics #Dysphagia #Discrete wavelet transform #Pattern classification |
Tipo |
info:eu-repo/semantics/article |