500 rub
Journal Biomedical Radioelectronics №4 for 2026 г.
Article in number:
Compensation of the isoline drift in the electrocardiosignal
Type of article: scientific article
DOI: https://doi.org/10.18127/j15604136-202604-04
UDC: 612.171.1
Authors:

Yu.M. Kulunich1, S.A. Shuharev2, M.Yu. Kulunich3

1–3 Far Eastern State University of Railways (DVGUPS) (Khabarovsk, Russia)
1 kulinitsch@rambler.ru, 2 shuharevsa@gmail.com, 3 kulinichmisha@gmail.com

Abstract:

The development of digital and microprocessor technology is finding wider and wider practical application in all branches of modern science and technology. The field of biomedical technologies is no exception, since in the context of an increasing level of cardiovascular diseases, the issues of diagnosis and timely treatment are becoming increasingly relevant. Currently, electrocardiography is the most common method of examining the work of the heart. The use of computer technology, which makes it possible to implement the most complex diagnostic algorithms, as well as the use of compact cardiogram imaging devices provide ample opportunities for timely and correct diagnosis. Various ways of compensating for the drift of the isoline in the cardiosignal are analyzed and one of the effective methods of improving the quality of the cardiogram is substantiated, which consists in compensating for the drift of the isoelectric line using interpolation splines. A cubic spline construction technique has been developed to improve the accuracy of cardiogram registration and facilitate correct diagnosis. A program for determining splines in the form of a cardiogram signal has been developed in the high-level C language, implemented in the STM32 microcontroller. A protocol for transmitting information from a microcontroller to an ILI9486 color LCD screen over an 8-bit parallel bus has been developed as a program code. In accordance with the adopted import substitution program, the results of the study can be used in the design and manufacture of inexpensive domestic electrocardiographs that correspond to Class 2 devices. The research results presented in the paper clearly showed that the production of medical equipment can be organized on the basis of universities that are not part of the healthcare structure.

Pages: 36-46
For citation

Kulunich Yu.M., Shuharev S.A., Kulunich M.Yu. Compensation of the isoline drift in the electrocardiosignal // Biomedicine Radioengi­neering. 2026. V. 29. № 4. P. 36–46. DOI: https:// doi.org/10.18127/ j15604136-202604-04

References
  1. Chazova I.E., Oshchepkova E.V. Opyt bor'by s serdechno-sosudistymi zabolevaniyami v Rossii. Analiticheskij vestnik. 2015. № 44 (597). S. 4–9 (In Russian).
  2. Mirhamidova S.M., Botirova N.B., Kambarova S.A. Osobennosti rasprostraneniya serdechno-sosudistyh zabolevanij . Molodoj uchenyj. 2016. № 21(125). S. 73–76 (In Russian).
  3. Zdravoohranenie v Rossii: Oficial'noe izdanie Federal'noj sluzhby gosudarstvennoj statistiki (Rosstat). M.: Rosstat. 2019. 170 s. (In Russian).
  4. Kosolapov V.P., Yarmonova M.V. Analiz vysokoj serdechno-sosudistoj zabolevaemosti i smertnosti vzroslogo naseleniya kak mediko-social'noj problemy i poisk putej ee resheniya // Ural'skij medicinskij zhurnal. 2021. T. 20. №1. S. 58–64 (In Russian).
  5. Patent №2383297. Rossijskaya Federaciya, MPK A61V 5/02. Ustrojstvo dlya kontrolya serdechnoj deyatel'nosti cheloveka.  Yu.M. Kulinich. 2010 (In Russian).
  6. ECG AD8232. ASSEMBLY MANUAL. [Online]. http://www.manualslib.com/manual/2294633/Ecg-Ad8232. html
  7. Kulinich Yu.M., Shuharev S.A. Primenenie mikrokontrollera STM32 v prakticheskih prilozheniyah. M.: FGBU DPO «Uchebno-metodicheskij centr po obrazovaniyu na zheleznodorozhnom transporte». 2024. 240 s. (In Russian).
  8. Frolov S.V., Stroev V.M., Gorbunov A.V., Trofimov V.A. Metody i pribory funkcional'noj diagnostiki: Ucheb. posobie. Tambov: Izd-vo Tamb. gos. tekhn. un-ta, 2008. 80 s. (In Russian).
  9. Blinov P.A., Miheev A.A. Analiz metodov kompensacii drejfa izolinii elektrokardiosignala. Vestnik RGRTU. 2009. № 4. S. 1–4 (In Russian).
  10. Volosatova T.M., Spasenov A.Yu. i dr. Avtomatizirovannaya sistema analiza i interpretacii elektrokardiosignala [Elektronnyj resurs]. Radiooptika. MGTU im. N.E. Baumana. 2016 (In Russian).
  11. Avhadiev F.G. Chislennye metody algebry i analiza. Kazan': Izd-vo Kazan. un-ta. 2019. 200 s. (In Russian).
  12. Polenishchenko L.I., Nikonova S.P. Sbornik zadach i uprazhnenij po linejnoj algebre: Ucheb. posobie. Izd. 2-e, ispr. i dop. Ul'yanovsk: UVAU GA(I). 2011. 79 s. (In Russian).
  13. Prohorenok N.A., Yazyk S. Samoe neobhodimoe. SPb.: BHV-Peterburg. 2020. 480 s. (In Russian).
  14. Rangajyan R.M. Analiz biomedicinskih signalov. Prakticheskij podhod. M.: Fizmatlit. 2007 440 s. (In Russian).
  15. Roslyakova A.V., Chuprakov P.G. Sravnitel'nyj analiz algoritmov obnaruzheniya R-zubca elektrokardiosignala. Vyatka, Vyatskij medicinskij vestnik. 2012. № 2. S. 29–35 (In Russian).
  16. Volosatova T.M., Malyshev A.P. Uluchshenie signala elektrokardiogrammy na osnove algoritma udaleniya drejfa ego izolinii. Internet-zhurnal «Naukovedenie». 2017. T. 9. № 4 (In Russian).
  17. Mel'nik O.V., Miheev A.A. i dr. Vydelenie drejfa izolinii elektrokardiosignala. Biomedicinskie tekhnologii i radioelektronika. 2005. № 1–2. S. 26–30 (In Russian).
  18. Bennett D.H. Serdechnye aritmii: prakticheskie rekomendacii po interpretacii kardiogramm i lecheniyu: Per. s angl. M.: MEDpress-inform. 2010. 462 c. (In Russian).
  19. Arutyunov G.P. Terapevticheskie aspekty diagnostiki i lecheniya zabolevanij. M.: GEOTAR-Media. 2015. 608 s. (In Russian).
Date of receipt: 17.12.2025
Approved after review: 30.01.2026
Accepted for publication: 18.05.2026