ISSN 0869-6632 (Print)
ISSN 2542-1905 (Online)

For citation:

Nikulina M. V. The new approach to calculation of physiological cost of activity: antinociception and normalization of the respiratory pattern of heart rate variability. Izvestiya VUZ. Applied Nonlinear Dynamics, 2024, vol. 32, iss. 5, pp. 625-635. DOI: 10.18500/0869-6632-003118, EDN: EBQJPT

This is an open access article distributed under the terms of Creative Commons Attribution 4.0 International License (CC-BY 4.0).
Full text PDF(Ru):
PDF icon and_2024-5_nikulina_625-635.pdf
(downloads: 0)
Language: 
Russian
Heading: 
Nonlinear Dynamics and Neuroscience
Article type: 
Article
UDC: 
612.176:4, 004.021
DOI: 
10.18500/0869-6632-003118
EDN: 
EBQJPT

The new approach to calculation of physiological cost of activity: antinociception and normalization of the respiratory pattern of heart rate variability

Autors: 
Nikulina Marina Valentinovna, Institute of Applied Physics of the Russian Academy of Sciences
Abstract: 

Purpose of this work is to propose an approach to the assessment of allostatic load based on the antinociceptive effect, which appears, obviously, due to changes in the activity of the endogenous opioid system (EOS); to compare the estimates obtained by measuring the pain threshold and calculating the index of respiratory effects on heart rate variability (HRV).

The method of measuring the pain threshold is based on fixing the latent time of the thermonociceptive reaction (LTTR). The respiratory effect is measured by graphically determining the minimum normalized power of the fast HRV component in the range of 0.16...0.67 Hz, corresponding to the frequency of the respiratory pattern.

Results. Based on small-volume experimental data (4 athletes and 4 episodes of physical activity), a quadratic two-factor regression equation was calculated for LTTR, respiratory effects factor and stress. A high correlation was demonstrated between the respiratory effect on HRV and the LTTR for one studied athlete.

Conclusion. Using the example of sports, it is shown that it is possible to track the physiological cost of activities through LTTR. The inconveniences and subjectivity of the LTTR measurement procedure can be circumvented by replacing it with a normalized numerical index that considers the effect of breathing on HRV and the stress index. The proposed approach demonstrates the presence of reference values in the studied group, but requires further specially planned clinical studies.

Key words: 
endogenous opioid system
antinociception
latent time of thermonociceptive reaction
normalization of heart rate variability
analgesia/nociception index
allostatic load
Acknowledgments: 
The work was partially funded by the Ministry of Science and Higher Education of the Russian Federation within the framework of the state assignment of the IPF RAS, the project № FFUF-2024-0029.
Reference: 
  1. Shlyk NI. Management of Athletic Training Taking into Account Individual Heart Rate Variability Characteristics. Human Physiology. 2016;42(6):655–665. DOI: 10.1134/S0362119716060189.
  2. Malik M, Bigger JT, Camm AJ, Kleiger RE, Malliani A, Moss AJ, Schwartz PJ. Heart rate variability: Standards of measurement, physiological interpretation, and clinical use. European Heart Journal. 1996;17(3):354–381. DOI: 10.1093/oxfordjournals.eurheartj.a014868.
  3. Babunts IV, Mirijanyan EM, Mashayeh YuA. Abc of heart rate variability analysis. Stavropol: Print-master; 2002. 112 p. (in Russian).
  4. Mikhailov VM. Heart rate variability: experience of practical application of the method. Ivanovo: Ivan. state. med. academy; 2002. 290 p. (in Russian).
  5. Gavrilova EA. Sport, stress, variability: monograph. Moscow: Sport; 2015. 168 p. (in Russian).
  6. Logier R, Jeanne M, De Jonckheere J, Tavernier B. Pain/Analgesia evaluation using heart variability analysis. Annual International Conference of the IEEE Engineering in Medicine and Biology Society, New York City, USA, 2006. P. 4303–4306. DOI: 10.1109/IEMBS.2006.260494.
  7. Jeanne M, Logier R, De Jonckheere J, Tavernier B. Validation of a graphic measurement of heart rate variability to assess analgesia/nociception balance during general anesthesia. 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Minne-apolis, Minnesota, USA, 2009. P. 1840–1843. DOI: 10.1109/IEMBS.2009.5332598.
  8. Droste C. Korperliche Belastung, endogene Opiate und Schmerz [Physical exercise, endogenousopiates and pain regulation]. Schmerz. 1991;5(3):138–147. DOI: 10.1007/BF02528099.
  9. Parin SB. People and animals in extreme situations: neurochemical mechanisms, evolutionary aspect. Novosibirsk State University Bulletin. Series: Psychology. 2008;2(2):118–135 (in Russian).
  10. Kalquzhnyi LV. Physiological mechanisms of pain regulation/AMS USSR. Moscow: Medisina; 1984. 216 p. (in Russian).
  11. Puzin MN, Vyazmin AYa. The endogenous opioid system in the mechanisms of pain sensitivity regulation. In book: Painful dysfunction of the temporomandibular joint. Moscow: Medisina; 2002. P. 140–146 (in Russian).
  12. Litvinova SV, Nadezhdin AV. A method for assessing the state of the endogenous opioid system in humans: RF Patent RU2199942, 27.04.2001 (in Russian).
  13. Litvinova SV, Nadezhdin AV, Avdeev SN, Khokhlov SE, Tetenova EYu, Terebilina NN, Panchenko LF, Shabaeva MV, Sokolov OYu, Shulgovsky VV. Analysis of the ratio of thresholds of nociceptive reactions and total enkephalinase activity of blood serum in patients with heroin addiction. International Medical Journal. 2000;5:431–435(in Russian).
  14. Ledowski T., Tiong SW., Lee C, Wong B, Fiori T, Parker N. Analgesia nociception index: evaluation as a new parameter for acute postoperative pain. British Journal of Anaesthesia. 2013;111(4):627–629. DOI: 10.1093/bja/aet111.
  15. Shahiri TS, Richebe P, Richard-Lalonde M. Description of the validity of the Analgesia Nociception Index (ANI) and Nociception Level Index (NOL) for nociception assessment in anesthetised patients undergoing surgery: A systematised review. Journal of Clinical Monitoring and Computing. 2021;36:623–635. DOI: 10.1007/s10877-021-00772-3.
  16. Spasova AP., Tikhova GP., Bazarov RO. Index of analgesia-nociception: opportunities and limits. Bulletin of Anesthesiology and Resuscitation. 2015;12(5):64–70 (in Russian).
  17. Tarasova NYu, Shmigelskii AV, Lubnin AYu, Kulikov AS. Quantitative intraoperative monitoring of analgesia. Russian Journal of Anesthesiology and Reanimatology. 2020;3:27–36 (in Russian). DOI: 10.17116/anaesthesiology202003127.
  18. Nikulina MV. Lomb-Scargle periodogram during activation of the endogenous opioid system. Safe sport — 2022: IX International Scientific and Practical Conference, Saint-Petersburg, May 12-13, 2022. Saint-Petersburg: Publishing house of I. I. Mechnikov NWSMU; 2022. P. 389–395 (in Russian).
  19. Polevaya СА.Integration of endogenous factors into the system of processing extraceptive signals: dissertation. Doctors of Biological Sciences: 03.00.02, 03.00.13. Place of protection: Institute of Theoretical and Experimental Biophysics of the Russian Academy of Sciences. 2009 (in Russian).
  20. Nikulina MV, Tvorogova OV. Analgesia monitoring in the training control. Modern approaches to optimization of physical education, sports training and health improvement of the population: Proceedings XXI International Scientific and Practical Conference, Nizhny Novgorod, December 9, 2022. Nizhny Novgorod: Publishing House of N. I. Lobachevsky National Research University); 2022. P. 521–530 (in Russian).
  21. Nikulina MV., Antonets VA. Experience in assessing heart rate variability by smoothed cardiointervalograms. Izvestiya VUZ. Applied Nonlinear Dynamics. 2022;30(2):176–188 (in Russian). DOI: 10.18500/0869-6632-2022-30-2-176-188.
Received: 
30.12.2023
Accepted: 
09.04.2024
Available online: 
09.09.2024
Published: 
30.09.2024
  • 175 reads