350 rub
Journal Biomedical Radioelectronics №3 for 2025 г.
Article in number:
Big medical data and improving the efficiency of electronic measuring instruments for recording various biomedical signals
Type of article: scientific article
DOI: https://doi.org/10.18127/j15604136-202503-06
UDC: 615.47
Authors:

M.F. Umarov1, M.K. Mirzojanova2

1,2 State Educational Institution “Khujand State University n.a. Academician Bobojon Gafurov” (Khujand, Republic of Tajikistan)
1 umma54@rambler.ru, 2 missmmk@bk.ru

Abstract:

Currently, the problem of processing large medical data is urgent. The development of effective electronic measuring devices for recording basic biomedical signals is the basis for the successful application of new technologies. The purpose of this work was to conduct an extensive analysis of the use of big data in the field of medicine, as well as to increase the efficiency of electronic measuring converters of biomedical signals by improving existing converters and modeling electrical circuits of different filters to implement various functions of medical devices. The nature of artifacts in biomedical signals is investigated and ways to solve the problem using signal filtering are proposed. Methods for eliminating high-frequency noise and periodic artifacts are presented, and filtering in time domains of the frequency domain is considered. The selection of a suitable filter is described. A solution to the problem of noise reduction is proposed – the use of a hardware complex, which is a filter system. A comparison of the technical characteristics and electrical circuits of this complex with analogues is given. The hardware complexes proposed in the work can be used in conjunction with existing measuring instruments for diagnosis, monitoring, and assessment of the condition of various patients to provide truthful information about the patient's physiological parameters.

Pages: 48-59
For citation

Umarov M.F., Mirzojanova M.K. Big Medical Data and Improving the Efficiency of Electronic Measuring Instruments for Recording Various Biomedical Signals. Biomedicine Radioengineering. 2025. V. 28. № 3. P. 48–59. DOI: https:// doi.org/10.18127/j15604136-202503-06 (In Russian)

References
  1. Big data. Bol'shie dannye v medicine [Elektronnyj resurs]. URL: https: //medspecial.ru/news/1/28048/ (data obrashcheniya: 13.06.2020) (In Russian).
  2. Primenenie Big Data v medicine [Elektronnyj resurs]. URL: https: //news.rambler.ru/other/39885536/?utm_content=news_media& utm_medium=read_more&utm_source=copylink (data obrashcheniya: 07.07.2020) (In Russian).
  3. Big Data v medicine, vozmozhnosti i primery primeneniya [Elektronnyj resurs]. URL: https: //zen.yandex.ru/media/id/ 5ad352821410c33175a78d99/big-data-v-medicine-vozmojnosti-i-primery primeneniia-5ad483f6830905287b490bf0 (data obrashcheniya: 06.07.2020) (In Russian).
  4. Panch T., Mattie H., Celi L.A. The “inconvenient truth” about AI in healthcare. NPJ Digit Med. 2019. V. 2(1). R. 1–3. DOI: 10.1038/s41746-019-0155-4.
  5. New Paradigm in Healthcare Industry Using Big Data Analytics [Elektronnyj resurs]. Elektronnye dannye. Rezhim dostupa: https:. iopscience.iop.org/article/10.1088/1757-899X/1099/1/012054/pdf.
  6. Batko K., Slezak A. The use of Big Data Analytics in healthcare. J. Big Data. 2022. V. 9(3). P. 24. DOI.org/10.1186/s40537-021-00553-4.
  7. Panov A.I. Ispol'zovanie analitiki bol'shih dannyh v zdravoohranenii. Ekonomika i kachestvo sistem svyazi. 2023. № 3. S. 21–29 (In Russian).
  8. Umarov M.F., Korchazhinskaya A.M. Povyshenie effektivnosti izmeritel'nyh preobrazovatelej biomedicinskih signalov. Vestnik Vologodskogo gosudarstvennogo universiteta. Seriya: Tekhnicheskie nauki. 2018. № 2(2). S. 45–47 (In Russian).
  9. Solov'ev A., Kurdyukov S. Sovremennye resheniya dlya modelirovaniya i proektirovaniya MEMS v srede CoventorMP. Elektronika NTB. 2021. № 3(204). S. 66–71. DOI: 10.22184/1992-4178.2021.204.3.66.71 (In Russian).
  10. Fedotov A.A., Akulov S.A. Izmeritel'nye preobrazovateli biomedicinskih signalov sistem klinicheskogo monitoringa. M.: Radio i svyaz'. 2013. 250 s. (In Russian).
  11. Kuz'min A.G., Umarov M.F. Matematicheskoe obespechenie elektronnoj apparatury dlya obrabotki biomedicinskih signalov. Vestnik Cherepoveckogo gosudarstvennogo universiteta. 2021. № 5(104). S. 7–21 (In Russian).
  12. Ershova E.S., Obuhova A.S., Ershov N.Yu. Ispol'zovanie cifrovyh tekhnologij v sfere zdravoohraneniya. Estestvenno-gumanitarnye issledovaniya (EGI). 2024. № 3(53). C. 153–158 (In Russian).
  13. Briganti G., Le Moine O. Artificial intelligence in medicine: today and tomorrow. Frontiers in medicine. 2020. № 7(27). P. 1–6. DOI: 10.3389/fmed.2020.00027
Date of receipt: 21.01.2025
Approved after review: 21.02.2025
Accepted for publication: 15.04.2025