Detection of COPD's auscultative symptoms using higher order statistics in the analysis of respiratory sounds

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作者：A. S. Poreva ; Ye. S. Karplyuk…
刊名：Radioelectronics and Communications Systems
出版年：2016
出版时间：February 2016
年：2016
卷：59
期：2
页码：83-88
全文大小：189 KB
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作者单位：A. S. Poreva (1)
Ye. S. Karplyuk (1)
A. A. Makarenkova (2)
A. P. Makarenkov (2)

1. National Technical University of Ukraine “Kyiv Polytechnic Institute”, Kyiv, Ukraine
2. Institute of Hydromechanics of NAS of Ukraine, Kyiv, Ukraine

刊物类别：Engineering

刊物主题：Communications Engineering and Networks
Russian Library of Science

出版者：Allerton Press, Inc. distributed exclusively by Springer Science+Business Media LLC

ISSN：1934-8061

文摘

In this paper we present the method for determination of the specific auscultatory diagnostic signs in patients with chronic obstructive pulmonary disease (COPD), which is based upon the utilization of the polyspectral analysis and the calculation of higher order statistics. The main stages of the method are the calculation and construction of the bicoherence function of the lung sound signal in order to find its maximal value. The visual and numerical estimations of the obtained maximum allow us to conclude the presence or absence in this lung’s audio signal of the artifact, which indicates the pathology. For more accurate results one needs to determine asymmetry coefficient and to perform the estimation of bifrequency corresponding to the maximal value of the bicoherence coefficient. The calculation of skewness and kurtosis coefficients of cross-correlation functions of lung sound signals, which were recorded simultaneously in four channels, allows us to reduce the sensitivity of the method to noise components. Therefore, by analyzing all proposed calculated characteristics and parameters one can conclude the presence or absence of the pathology in this audio signal.