Classification of the functional state of the respiratory system based on the analysis of cardiorespiratory synchronism

S. A. Filist, A. A. Kuzmin, H. A. Haider Alavsi, V. V. Pesok, A. E. Pshenichny

Abstract


The purpose of the study is developing a method for classification the functional state of the respiratory system based on the analysis of cardiorespiratory synchronism. A method for estimation of the synchronism of the cardiorespiratory system has been developed. It is based on a comparison of the powers of the respiratory rhythm spectra obtained from the surface electromyogram of the respiratory muscles and the cardio signal. The method allows forming descriptors for classifiers of the functional state of the respiratory system. This is achieved by calculating the wavelet coefficients of the surface electromyogram of the respiratory muscles and the cardio signal. Informative vectors are formed from the wavelet coefficients in the region of the breathing rhythm. An automated system has been developed for the quantitative interpretation of cardiorespiratory synchronism. It contains hardware and software for synchronous recording of surface electromyogram and cardiosignal, software for wavelet analysis and classification. It allows assessing the functional state of the respiratory system. Experimental and statistical studies of the quality indicators of the functional state of the respiratory system classifier used the example of assessing the risk of community-acquired pneumonia.

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References


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