Mobile end-user solution for system of monitoring of respiratory and cardiac sounds

Гринченко, В. Т.; Artemiev, A. N.; Makarenkov, Anatolii; Makarenkova, Anastasiia; Oliynik, Valery; Nabiev, Rustam; Gurenko, Oleg; Gnateiko, Vladymyr; Glazova, Anna

doi:10.1109/elnano.2014.6873900

Cited by 3 publications

(1 citation statement)

References 8 publications

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“…Scientists started studying acoustic signs of main respiratory noises later, after objective signs of secondary respiratory noises were described and, most importantly, technical possibilities of separation of respiratory noises appeared, i.e. separation of the fraction of the main respiratory noises from the side noises layered on them [8][9][10][11][12]. For the auditory analyzer of the human brain, as you know, this problem has never existed.…”

Section: Analysis Of Breathing Soundsmentioning

confidence: 99%

Visualization of Lung Sounds Based on Multilevel Wavelet Analysis

Gorshkov¹

2022

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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.

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Section: Analysis Of Breathing Soundsmentioning

confidence: 99%