Classification of normal swallowing and oropharyngeal dysphagia using wavelet

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.

[1]  David A. Landgrebe,et al.  Covariance Matrix Estimation and Classification With Limited Training Data , 1996, IEEE Trans. Pattern Anal. Mach. Intell..

[2]  David G. Stork,et al.  Pattern Classification , 1973 .

[3]  Jaideva C. Goswami,et al.  Fundamentals of wavelets , 1999 .

[4]  Paul S. Addison,et al.  The Illustrated Wavelet Transform Handbook , 2002 .

[5]  Ingrid Daubechies,et al.  The wavelet transform, time-frequency localization and signal analysis , 1990, IEEE Trans. Inf. Theory.

[6]  R. Coifman,et al.  Fast wavelet transforms and numerical algorithms I , 1991 .

[7]  Ingrid Daubechies,et al.  Ten Lectures on Wavelets , 1992 .

[8]  Zahra Moussavi,et al.  Classification of normal and dysphagic swallows by acoustical means , 2004, IEEE Transactions on Biomedical Engineering.

[9]  Z. Moussavi,et al.  Swallowing Sound Characteristics in Healthy and Dysphagic Individuals , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[10]  Buchholz Dw,et al.  Dysphagia Associated With Neurological Disorders , 1994 .

[11]  J. Logemann,et al.  Evaluation and treatment of swallowing disorders , 1983 .

[12]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[13]  W. Alves,et al.  Ischemic stroke: relation of age, lesion location, and initial neurologic deficit to functional outcome. , 1998, Archives of physical medicine and rehabilitation.

[14]  M. Aboofazeli,et al.  Analysis of normal swallowing sounds using nonlinear dynamic metric tools , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[15]  DaubechiesIngrid.  Orthonormal bases of compactly supported wavelets II , 1993 .

[16]  Rolf Olsson,et al.  Dysphagia in Stroke: A Prospective Study of Quantitative Aspects of Swallowing in Dysphagic Patients , 1998, Dysphagia.

[17]  I. Daubechies.  Orthonormal bases of compactly supported wavelets II: variations on a theme , 1993 .

[18]  Julie Morris,et al.  The Natural History of Dysphagia following a Stroke , 1997, Dysphagia.

[19]  D. Smithard,et al.  Complications and outcome after acute stroke. Does dysphagia matter? , 1996, Stroke.

[20]  Koji Takahashi,et al.  Methodology for detecting swallowing sounds , 2004, Dysphagia.