Wheezing sounds detection using multivariate generalized gaussian distributions

Abstract

A wheeze is a continuous, coarse, whistling sound produced in the respiratory airways during breathing, commonly experienced by persons suffering from asthma. In this paper, we present a new method for the detection of wheezing sounds in the normal breathing sounds. In our study we perform an accurate statistical analysis of breathing signals. We suggest a modeling for wheezing and normal sounds in the wavelet packet domain using generalized gaussian distributions. Our detection method is based on a specific multimodal Markovian modeling proposed in a bayesian framework. We cope with the multidimensional aspect of the generalized gaussian distribution by using the theory of copulas. Experimental results are given in detail in this paper.

DOI: 10.1109/ICASSP.2009.4959640

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Cite this paper

@article{Cam2009WheezingSD, title={Wheezing sounds detection using multivariate generalized gaussian distributions}, author={Steven Le Cam and Akram Belghith and Christophe Collet and Fabien Salzenstein}, journal={2009 IEEE International Conference on Acoustics, Speech and Signal Processing}, year={2009}, pages={541-544} }