Denoising swallowing sound to improve the evaluator's qualitative analysis

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Data

2008-03-01

Autores

Augusto Spadotto, Andre
Paulo Papa, João
Rita Gatto, Ana [UNESP]
Cristina Cola, Paula [UNESP]
Carlos Pereira, Jos
Capobianco Guido, Rodrigo
Schelp, Arthur Oscar [UNESP]
Dias Maciel, Carlos
Montagnoli Neto, Arlindo [UNESP]

Título da Revista

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Editor

Pergamon-Elsevier B.V. Ltd

Resumo

Swallowing dynamics involves the coordination and interaction of several muscles and nerves which allow correct food transport from mouth to stomach without laryngotracheal penetration or aspiration. Clinical swallowing assessment depends on the evaluator's knowledge of anatomic structures and of neurophysiological processes involved in swallowing. Any alteration in those steps is denominated oropharyngeal dysphagia, which may have many causes, such as neurological or mechanical disorders. Videofluoroscopy of swallowing is presently considered to be the best exam to objectively assess the dynamics of swallowing, but the exam needs to be conducted under certain restrictions, due to patient's exposure to radiation, which limits periodical repetition for monitoring swallowing therapy. Another method, called cervical auscultation, is a promising new diagnostic tool for the assessment of swallowing disorders. The potential to diagnose dysphagia in a noninvasive manner by assessing the sounds of swallowing is a highly attractive option for the dysphagia clinician. Even so, the captured sound has an amount of noise, which can hamper the evaluator's decision. In that way, the present paper proposes the use of a filter to improve the quality of audible sound and facilitate the perception of examination. The wavelet denoising approach is used to decompose the noisy signal. The signal to noise ratio was evaluated to demonstrate the quantitative results of the proposed methodology. (C) 2007 Elsevier Ltd. All rights reserved.

Descrição

Palavras-chave

swallowing sound, cervical auscultation, wavelet denoising

Como citar

Computers & Electrical Engineering. Oxford: Pergamon-Elsevier B.V. Ltd, v. 34, n. 2, p. 148-153, 2008.