Prospects for using indicators of non-linear analysis of heart rate variability as markers of the functional state of the athlete's body when performing training and testing loads

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Dr. Hab., Associate Professor E.V. Fedotova
Federal Science Center of Physical Culture and Sport (VNIIFK), Moscow

Objective of the study was to identify modern approaches to the use of indicators of non-linear analysis of heart rate variability as markers of the functional state of the athlete's body when performing training and testing loads, indicators of the readiness of body systems to perform a load of a given intensity, criteria for assessing the quality of recovery processes within the framework of operational and routine control measures.
Methods and structure of the study. The scientific work used a computerized systematic search for relevant articles from the electronic databases PubMed, Scopus, ResearchGate, Web of Science, eLibrary. Among the initially selected 196 articles met the inclusion criteria and were used for the analysis of 62 papers.
Results and conclusions. The prospects of using and potential advantages of non-linear analysis methods as tools for monitoring the functional state of the athlete's body have been studied, and possible limitations of their use in the practice of sports training have been identified. It is shown that one of the most promising methods of nonlinear analysis is the method of detrended fluctuation analysis (DFA), which makes it possible to evaluate the multifractal spectrum of time series and calculate the DFA α1 index; intensity zones, when assessing the functional state of the athlete's body in the pre- and post-load period.

Keywords: heart rate variability; nonlinear analysis; DFA index α1, functional state marker.

References

  1. Ardashev A.V., Loskutov A.Yu. Prakticheskiye aspekty sovremennykh metodov analiza variabelnosti serdechnogo ritma [Practical aspects of modern methods for analyzing heart rate variability]. Moscow: Medpraktika publ., 2011. 128 p.
  2. Baevsky R.M. Analiz variabelnosti serdechnogo ritma: istoriya i filosofiya, teoriya i praktika [Analysis of heart rate variability: history and philosophy, theory and practice]. Klinicheskaya informatika i telemeditsina. 2004. No. 1. pp. 54-64.
  3. Bockeria L.A., Bokeria O.L., Volkovskaya I.V. Variabelnost serdechnogo ritma: metody izmereniya, interpretatsiya, klinicheskoye ispolzovaniye [Heart rate variability: measurement methods, interpretation, clinical use]. Annaly aritmologii. 2009. Vol. 6. No. 4. pp. 21-32.
  4. Lapkin M.M., Vikhrov S.P., Alpatov A.V. Fraktalno-fluktuatsionnyy analiz nelineynykh komponentov serdechnogo ritma dlya parametrizatsii funktsionalnogo sostoyaniya cheloveka [Fractal-fluctuation analysis of non-linear heart rate components for parameterization of the functional state of a person]. Rossiyskiy mediko-biologicheskiy vestnik im. ak. I.P. Pavlova. 2012. Vol. 20. No. 2. pp. 96-106.
  5. Martynenko A.V. Nelineynyye metody analiza variabelnosti serdechnogo ritma [Nonlinear methods for the analysis of heart rate variability]. Vestnik Kharkovskogo natsionalnogo universiteta im. V.N. Karazina. Seriya «Meditsina». 2003. No. 5 (581). pp. 67-68.
  6. Pitkevich Yu.E. Variabelnost serdechnogo ritma u sportsmenov [Heart rate variability in athletes]. Problemy zdorovya i ekologii. 2010. No. 4 (26). pp. 101-106.
  7. Fleishman A.N. et al. Entropiya i DFA-variabelnosti ritma serdtsa pri distantnom prekonditsionirovanii, ortostaze u zdorovykh molodykh lyudey i u lits s izmeneniyami neyrovegetativnoy regulyatsii kardiodinamiki [Entropy and DFA-heart rate variability during remote preconditioning, orthostasis in healthy young people and in individuals with changes in the neurovegetative regulation of cardiodynamics]. Izvestiya vuzov. PND. 2016. No. 5. pp. 37-61.
  8. Frolov A.V. et al. Tsifrovaya obrabotka biomeditsinskikh signalov i izobrazheniy [Digital processing of biomedical signals and images]. Guide. Minsk: BSUIR publ., 2016. 64 p.
  9. Rogers B., Giles D., Draper N. et al. A New Detection Method Defining the Aerobic Threshold for Endurance Exercise and Training Prescription Based on Fractal Correlation Properties of Heart Rate Variability. Front. Physiol. 2021, 11:596567.
  10. Goldberger A.L., Amaral L.A., Hausdorff J.M., Ivanov P.C., Peng C.K., & Stanley H.E. Fractal dynamics in physiology: Alterations with disease and aging. PNAS, 2002. 99 (Suppl. 1), 2466-2472.
  11. Blasco-Lafarga C., Martínez Navarro I., Mateo March M. et al. Gender differences in elite athletes heart rate dynamics following a supra maximal complex effort. MOJ Sports Med. 2017;1(5):130-136.
  12. Gronwald T., Rogers B., Hoos O. Fractal correlation properties of heart rate variability: a new biomarker for intensity distribution in endurance exercise and training prescription? Front Physiol. 2020;11: 550572.
  13. Alikhani I., Noponen K., Tulppo M., et al. Heart Rate Variability and its Association with Second Ventilatory Threshold Estimation in Maximal Exercise Test. Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:139-142.
  14. Naranjo-Orellana J., Nieto-Jiménez C., Ruso-Álvarez J.F. Non-linear heart rate dynamics during and after three controlled exercise intensities in healthy men. Physiol Int. 2020 Dec 24;107(4):501-512.
  15. Gronwald T., Hoos O., Ludyga S., et al. Non-linear dynamics of heart rate variability during incremental cycling exercise. Res Sports Med. 2019 Jan-Mar;27(1):88-98.
  16. Peng C.-K., Havlin S., Stanley H.E., Goldberger A.L. Quantification of scaling exponents and crossover phenomena in nonstationary heartbeat time series. Chaos. 1995;5(1):82-7.
  17. Gronwald T. et al. Real-Time Estimation of Aerobic Threshold and Exercise Intensity Distribution Using Fractal Correlation Properties of Heart Rate Variability: A Single-Case Field Application in a Former Olympic Triathlete. Front Sports Act Living. 2021 May. No. 28 (3). pp. 668-812.
  18. Rogers B., Gronwald T. Fractal Correlation Properties of Heart Rate Variability as a Biomarker for Intensity Distribution and Training Prescription in Endurance Exercise: An Update. Front Physiol. 2022 May 9;13:879071.
  19. Sandercock, G.R.H., Brodie, D.A. The use of heart rate variability measures to assess autonomic control during exercise. Scand. J. Med. Sci. Sports 2006, 16, 302-313.
  20. Mendonca G.V., Heffernan K.S., Rossow L., Guerra M., Pereira F.D., Fernhall B. Sex differences in linear and nonlinear heart rate variability during early recovery from supramaximal exercise. Appl Physiol Nutr Metab. 2010 Aug;35(4):439-46.
  21. Thiart N., Coetzee B., Bisschoff C. Heart Rate Variability-Established Thresholds to Determine the Ventilatory and Lactate Thresholds of Endurance Athletes. Int J of Human Movement and Sports Sciences 11(2): 398-410, 2023
  22. Schaffarczyk M., Rogers B., Reer R., Gronwald T. Validation of a non-linear index of heart rate variability to determine aerobic and anaerobic thresholds during incremental cycling exercise in women. Eur J Appl Physiol. 2023 Feb;123(2):299-309.