Internet 
Українська  English  Русский  

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


References

1. Bol'shaya Sovetskaya Entsiklopediya [Great Soviet Encyclopedia]. Ed. Prokhorov A. M., M., Sovetskaya Entsiklopediya Publ., 1969, vol. 1. 483 p. (In Russ.).

2. Geddes L. A. Birth of the stethoscope. IEEE Engine. in Medicine and Biol. Magazine, 2005, vol. 24, iss. 1, pp. 84–86.
https://doi.org/10.1109/MEMB.2005.1384105
PMid:15709541

3. Palaniappan R., Sundaraj K., Sundaraj S. Artificial intelligence techniques used in respiratory sound analysis — a systematic review. Biomed. Tech., Berlin, 2014, vol. 59, no. 1, pp. 7–18.
https://doi.org/10.1515/bmt-2013-0074
PMid:24114889

4. Nikitin V. M., Muromtsev V. V., Anohin D. A. Hardware and software system for the conduct of phonocardiographic research. Naychnye vedomosti BelGU. Seriia istoriia. Politologiia. Ekonomika. Informatika [Scientific reports of BelSU. Series History. Political science. Economy. Informatics]. 2012, no. 13 (132), iss. 23/1. pp. 128–134. (In Russ.).

5. Kvochkin D. O., Vereitin V. A. Hardware–software complex for distance electronic phonocardiography. Juvenis scientia. Tekhnicheskie nauki. [Juvenis scientia. Technical science]. 2017, № 3. pp. 4-5.
https://doi.org/10.15643/jscientia.2017.3.001

6. Glazova A. Yu., Makarenkova A. A. Telemedicine system for auscultation and analysis of human breathing sounds. Biomed. radioelektronika [Biomed. Radioelectronics], 2013, no. 11, pp. 28–32. (In Russ.).

7. The complex of phonospirographic computer KoRA-03 M1. Certificate of state registration number 5528/2006. TU U33.1-05417354-001. 2006. (In Ukr.).

8. Kundiev Y. I., Basanets A. V. Pnevmokonioz: epidemiolohiya, rannya diahnostyka, profilaktyka [Pneumoconiosis: epidemiology, early diagnosis, prophylaxis]. K. Avitsena Publ., 2012, 192 p. (In Ukr.).

9. Maidannyk V. H., Emchynskaia E. A., Makarenkova A. A., Makarenkov A. P. Phonospirographic diagnostics of clinical and radiological forms of community-acquired pneumonia in children. Mezhdunarodnyj zhurnal pediatrii, akusherstva i ginekologii. [Intern. J. of Pediatrics, Obstetrics and Gynecology]. 2013, vol. 3, no. 2, pp.14–18. (In Russ.).

10. Basanec A. V., Ermakova O. V., Makarenkov A. P. Acoustic method of monitoring the condition of the bronchopulmonary system of patients with occupational diseases. Ukrayins'kyy zhurnal z problem medytsyny pratsi [Ukrainian J. of Occupational Health]. 2014, no. 3 (40), pp. 49–57. (In Russ.).

11. Telemedicine system of auscultation of sounds of people living. Patent 132498 Ukraine: MPK AV 7/04 (2006.01). № u 2018 10102; declare 10.10.2018. Newsletter, 2019 no. 4. (In Ukr.).

12. Poreva A., Karplyuk Y., Makarenkov A.. Application of Bispectrum Analysis to Lung Sounds in Patients with the Chronic Obstructive Lung Disease. Conference Proceedings of the IEEE 34th Intern. Sci. Conf. on Electronics and Nano technol. (ELNANO) Nat. Techn. Univer. of Ukraine "Kyiv Polytechnic Institute", 2014, pp. 306–309
https://doi.org/10.1109/ELNANO.2014.6873902

13. Pasterkamp H., Garson C., Daien D., Oh Y. Digital respirosonography. New images of lung sounds. Chest, 1990, no. 96 (6), pp. 1405–1412.
https://doi.org/10.1378/chest.96.6.1405
PMid:2684558


Full-text version http://kit-journal.com.ua/en/viewer_en.html?doc/2019_15/009.pdf