350 rub
Journal Biomedical Radioelectronics №4 for 2024 г.
Article in number:
Methods for studying heart rate variability (review)
Type of article: overview article
DOI: https://doi.org/10.18127/j15604136-202404-12
UDC: 57.087.1
Authors:

T.A. Vityazeva1, A.A. Mikheev2

1,2 FSBEI HE Ryazan State Radio Engineering University named after V.F. Utkin (Ryazan, Russia)

1 vsv630@yandex.ru, 2 maa0312@yandex.ru

Abstract:

Currently, one of the most popular methods worldwide for studying and evaluating the work of the heart, the functional state of the body as a whole and the state of various departments of the autonomic nervous system is the analysis of heart rate variability (HRV). To understand the mechanisms of analysis, it is necessary to review modern HRV research methods and analyze modern scientific data on existing research methods to assess heart rate variability.

In order to obtain a complete picture of modern methods of studying heart rate variability, to study the long-term experience of scientists, physicians and engineers. To analyze a number of domestic and foreign publications in order to identify promising areas of research methodologies for an important diagnostic parameter – heart rate variability. Also, to show criteria that can increase the informative characteristics of the studied signal due to new methods of processing the electrocardiosignal.

The analysis of a number of publications from domestic and foreign literature has been carried out and modern methods of analyzing heart rate variability have been studied. In order to increase the informative characteristics of the electrocardiosignal and the reliability of the analysis data, it is proposed to use new methods for processing heart rate variability in conjunction with the respiratory signal.

The study and analysis of modern methods for studying heart rate variability allowed us to conclude about promising methods for analyzing the electrocardiosignal in real time, which is very important in the realities of time. Identifying the features of HRV analysis data processing leads to errors. The use of new electrocardiosignal processing techniques will increase the reliability of the analysis of heart rate variability data and informative characteristics of the analysis.

Pages: 87-95
For citation

Vityazeva T.A., Mikheev A.A. Methods for studying heart rate variability (review). Biomedicine Radioengineering. 2024. V. 27. № 4. Р. 87-95. DOI: https://doi.org/10.18127/j15604136-202404-12 (In Russian).

References
  1. Kuznetsov A.A. Biofizika serdtsa: ucheb. posobiye. V 2-kh kn. Kn. 2. Elektrokardiograficheskoye kholterovskoye monitorirovaniye dlya issledovaniya variabelnosti serdechnogo ritma uslovno zdorovykh lyudey. Vladimir: Izd-vo VlGU. 2013. 84 s. (in Russian).
  2. Task Force of the European Society of Cardiology and North American Society of Pacing and Electrophysiology. Heart rate variability. Standards of measurement. physiological interpretation and clinical use. Circulation. 1996. V. 93(5). P. 1043-1065.
  3. Bayevskiy R.M., Kirillov O.I., Kletskin S.Z. Matematicheskiy analiz izmeneniy serdechnogo ritma pri stresse. M.: Nauka. 1984. 225 s. (in Russian).
  4. Gurzhin S.G., Kalakutskiy L.I., Fedotov A.A. Metodika otsenki elasticheskikh svoystv sosudov na osnove analiza variabelnosti serdechnogo ritma. Biomeditsinskaya radioelektronika. 2010. № 8. S. 54–59. (in Russian).
  5. Bayevskiy R.M., Ivanov G.G. i dr. Analiz variabelnosti serdechnogo ritma pri ispolzovanii razlichnykh elektrokardiograficheskikh sistem (chast 1). Vestnik aritmologii. 2001. № 24. S. 65–86. (in Russian).
  6. Yabluchanskiy N.I., Martynenko A.V. Variabelnost serdechnogo ritma v pomoshch prakticheskomu vrachu. Kharkov. 2010. 131 s. (in Russian).
  7. Mikhaylov V.M. Variabelnost ritma serdtsa. Opyt prakticheskogo primeneniya metoda. Ivanovo. 2000. 200 s. (in Russian).
  8. Babunts I.V., Miridzhanyan E.M., Mashayekh Yu.A. Azbuka analiza variabelnosti serdechnogo ritma. Stavropol. 2002. 112 s. (in Russian).
  9. Ryabykina G.V., Sobolev A.V. Variabelnost ritma serdtsa. M.: Overley. 2000. 200 s. (in Russian).
  10. Londhe A.N., Atulkar M. Heart Rate Variability: A Methodological Survey. International Conference on Intelligent Sustainable Systems. 2019. P. 57–63.
  11. Giannakakis G., Grigoriadis D., Giannakaki K., Simantiraki O., Roniotis A., Tsiknakis M. Review on psychological stress detection using biosignals. IEEE Transactions on Affective Computing. 2019. V. 1. № 1. DOI:10.1109/TAFFC.2019.2927337
  12. Londhe A.N., Atulkar M. [IEEE 2019 International Conference on Intelligent Sustainable Systems (ICISS) - Palladam. Tamilnadu. India (2019.2.21-2019.2.22)] 2019 International Conference on Intelligent Sustainable Systems (ICISS) – Heart Rate Variability: A Methodological Survey. 2019. P. 57–63. DOI: 10.1109/ISS1.2019.8907985
  13. Bansal D.; Khan M.; Salhan A.K. [IEEE 2009 International Conference on Computer and Automation Engineering. ICCAE 2009 - Bangkok (2009.03.8-2009.03.10)] 2009 International Conference on Computer and Automation Engineering - A Review of Measurement and Analysis of Heart Rate Variability. 2009. P. 243–246. DOI: 10.1109/ICCAE.2009.70
  14. Vega-Martinez G., Ramos-Becerril F.J., Mirabent-Amor D., Franco-Sanchez J.G., Vera-Hernandez A., Alvarado-Serrano C., Leija-Salas L. [IEEE 2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE) - Porto. Portugal (2018.3.19-2018.3.24)] 2018 Global Medical Engineering Physics Exchanges/Pan American Health Care Exchanges (GMEPE/PAHCE) - Analysis of heart rate variability and its application in sports medicine: A review. 2018. P. 1–5. DOI: 10.1109/GMEPE-PAHCE.2018.8400756
  15. Bayevskiy R.M., Berseneva A.P. Otsenka adaptatsionnykh vozmozhnostey organizma i risk razvitiya zabolevaniy. M.: Meditsina. 1997. 265 s. (in Russian).
  16. Variabelnost serdechnogo ritma: Teoreticheskiye aspekty i prakticheskoye primeneniye. Tezisy dokl. V Vseros. simp.. Otv. red.
    N.I. Shlyk. R.M. Bayevskiy. Izhevsk: Izd-vo UdGU. 2011. 597 s. (in Russian).
  17. Variabelnost serdechnogo ritma: Teoreticheskiye aspekty i prakticheskoye primeneniye// Tezisy dokl. V Vseros. simp. Otv. red. N.I. Shlyk. R.M. Bayevskiy. Izhevsk: Izd-vo UdGU. 2008. 344 s. (in Russian).
  18. Danichenko M.Yu., Melnik O.V., Mikheyev A.A., Solomakha V.N., Shuvalov P.L. Otsenka sinkhronizirovannosti deyatelnosti serdechno-sosudistoy i dykhatelnoy sistem organizma. Biotekhnosfera. 2013. № 1(25). S. 2–6. (in Russian).
  19. Patent № 2392848 (RF). Sposob diagnostiki stressa u cheloveka. R.P. Karasev, M.M. Lapkin. Opubl. 27.06.2010. Byull. № 18. (in Russian).
  20. Patent № 2722263 (RF). Sposob formirovaniya sinkhronizovannykh posledovatelnostey kardioritmogrammy i pnevmogrammy i ustroystvo dlya ego osushchestvleniya. T.A. Vityazeva, A.A. Mikheyev. Opubl. 28.05.2020. Byull. № 16. (in Russian).
Date of receipt: 22.05.2024
Approved after review: 20.06.2024
Accepted for publication: 22.07.2024