Artigo
Classification of normal swallowing and oropharyngeal dysphagia using wavelet
Fecha
2009-01-01Registro en:
Applied Mathematics and Computation. New York: Elsevier B.V., v. 207, n. 1, p. 75-82, 2009.
0096-3003
10.1016/j.amc.2007.10.065
WOS:000262613200006
5248388716505709
6542086226808067
0000-0002-0924-8024
Autor
Universidade de São Paulo (USP)
Universidade Estadual Paulista (Unesp)
Resumen
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.