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Please use this identifier to cite or link to this item: http://acervodigital.unesp.br/handle/11449/21792
Title: 
Classification of normal swallowing and oropharyngeal dysphagia using wavelet
Author(s): 
Institution: 
  • Universidade de São Paulo (USP)
  • Universidade Estadual Paulista (UNESP)
ISSN: 
0096-3003
Abstract: 
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.
Issue Date: 
1-Jan-2009
Citation: 
Applied Mathematics and Computation. New York: Elsevier B.V., v. 207, n. 1, p. 75-82, 2009.
Time Duration: 
75-82
Publisher: 
Elsevier B.V.
Keywords: 
  • Swallowing dynamics
  • Dysphagia
  • Discrete wavelet transform
  • Pattern classification
Source: 
http://dx.doi.org/10.1016/j.amc.2007.10.065
URI: 
Access Rights: 
Acesso restrito
Type: 
outro
Source:
http://repositorio.unesp.br/handle/11449/21792
Appears in Collections:Artigos, TCCs, Teses e Dissertações da Unesp

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