Classification of normal swallowing and oropharyngeal dysphagia using wavelet

DOI10.1016/J.AMC.2007.10.065zbMath1155.92331OpenAlexW1984220061MaRDI QIDQ1004215

Paula Cristina Cola, José Carlos Pereira, Ana Rita Gatto, Rodrigo Guido Capobianco, Arthur Oscar Schelp, Arlindo Neto Montagnoli, André Augusto Spadotto

Publication date: 2 March 2009

Published in: Applied Mathematics and Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.amc.2007.10.065

zbMATH Keywords

discrete wavelet transformpattern classificationBayesian classificationdysphagiaswallowing dynamics

Mathematics Subject Classification ID

Biomedical imaging and signal processing (92C55) Pattern recognition, speech recognition (68T10) Medical applications (general) (92C50) Numerical methods for wavelets (65T60)

Cites Work

• Unnamed Item
• Spectral-temporal filtering of NDT data using wavelet transform modulus maxima
• Denoising swallowing sound to improve the evaluator's qualitative analysis
• Fast wavelet transforms and numerical algorithms I
• The wavelet transform, time-frequency localization and signal analysis
• Ten Lectures on Wavelets
• Orthonormal Bases of Compactly Supported Wavelets II. Variations on a Theme

This page was built for publication: Classification of normal swallowing and oropharyngeal dysphagia using wavelet