This article presents results of research in the field of high-precision visualization of lung sounds based on the technology developed by the author for multilevel wavelet analysis of acoustic biomedical signals. A review of publications on the study of lung sounds in recent years has been made. Based on the analysis of records of domestic and foreign databases, parameters are given, on the basis of which respiratory sounds should be attributed to complex non-stationary signals. At the same time, in almost all used phonospirographic complexes and software tools for analyzing pulmonary sounds, spectral characteristics are calculated using the Fourier transform or FFT, which leads to errors in the diagnosis of diseases.The possibilities of the developed software tool for high-precision analysis of the sounds of lungs WaveView-MWA are considered. 40 records of two textbooks «Auscultation of the lungs» were processed using high-precision wavelet analysis algorithms. Examples of obtained acoustosonograms and frequency-time characteristics of pulmonary sounds in various diseases are presented. It is shown that acoustosonograms of multilevel wavelet analysis have an increased time-frequency resolution compared to Fourier spectrograms and provide visual high-precision visualization of lung sounds.
The article presents the results of research on the assessment of human emotional tension by a speech signal using the developed technology of multilevel wavelet analysis. The disadvantages of polygraph systems during psychophysiological inspections of personnel are given. The data obtained by domestic and foreign experts allow us to make a confident conclusion that the characteristics of a person's oral speech correlate with changes in their condition. The characteristics of the hardware and software complex «Icar Lab» (Russia) in assessing the emotional state of the speaker, as well as the computer voice stress analyzer CVSA (USA) are considered. A new contactless technology is proposed for assessing the level of emotional tension of a person using stress biomarkers obtained on the tonal parts of speech. The WaveView-VSA program for obtaining high-precision time-frequency characteristics of a speech signal has been developed. The possibilities of the developed program for visualizing the level of emotional tension are presented. A database of audio recordings of 6th-year students who are in conditions with increased emotional stress during the exam and the defense of the graduation project has been formed and processed. The research conducted by the Scientific and Educational Medical and Technological Center of the Bauman Moscow State Technical University showed the fundamental possibility of obtaining real-time acoustocardiography data and the level of emotional tension in the examined students during express cardiodiagnostics. The developed technology provides biomarkers of stress based on a speech signal lasting several seconds.
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