DOI: https://doi.org/10.31071/kit2019.15.09

Inventory reference

ISSN 1812-7231 Klin.inform.telemed. Volume 14, Issue 15, 2019, Pages 106-112

Author(s)

V. T. Grinchenko¹, N. S. Gorodetskaya¹, A. A. Makarenkova¹, S. V. Makyan², I. V. Starovoit¹

Institution(s)

¹Institute of Hydromechanics of NAS of Ukraine, Kyiv

²Ivano-Frankivsk Regional Children's Hospital, Ukraine

Article title

Remote auscultation system

Abstract (resume)

Introduction. The positive qualities of electronic auscultation of breathing sounds were the basis for the creation of this system.

Volume and research methods. The concept of building the system is based on the remote removal of the subsystem of electronic auscultation of breathing sounds located in medical clinics from the computer processing subsystem of recorded audio information located in a specialized center where digital processing, visualization, analysis, identification of characteristic auscultatory signs, and diagnosis are carried out. Subsystems are interconnected via the Internet. Video images of breathing sounds, are analyzed, allow determined: the duration of the phases of respiration, the intensity of the spectral components, the presence of artifacts in the spectra of sounds of respiration. Original highly sensitive vibration acceleration sensors were used to ensure high noise immunity of the signal/noise ratio in the low and medium frequencies (60–1000 Hz) — 26 dB, at high frequencies 16 dB.

Results. Using the system for the diagnosis of acute bronchitis and pneumonia in children, it was possible to identify differences in phonospirograms of a particular disease: the type of breathing (vesicular, hard, bronchial), the duration of the respiratory cycle and its phases, the intensity of the spectral components of the sounds of breathing, the presence of wheezing (dry and wet), their frequency range and the time of their appearance in the phases of respiration.

Conclusions. The system is highly informative, allowing to reduce material and infrastructure resources in the treatment of human bronchopulmonary diseases.

Keywords

Remote auscultation system, Sounds of breathing, Sensors phonospirograms, Auscultatory symptoms

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