CLUSTERIZATION OF FUNCTIONAL STATES OF THE ORGANISM. PILOT STUDY

Authors

  • O. P. Mintser Shupyk National Healthcare University of Ukraine https://orcid.org/0000-0002-7224-4886
  • V. P. Karlenko National University of Ukraine on Physical Education and Sport
  • Ya. O. Shevchenko Shupyk National Healthcare University of Ukraine
  • O. O. Sukhanova Shupyk National Healthcare University of Ukraine

DOI:

https://doi.org/10.11603/mie.1996-1960.2021.2.12449

Keywords:

clustering, functional states, diagnostic process, stable states, alternative steady states

Abstract

Background. Issues are considered and a pilot analysis of data on the possibility of allocating stable states of the body during exercise. As an example, selected indicators of ergospirometry and dynamics of heart rate (HR) in 7 men and 6 women, the main members of the national team of Ukraine in biathlon. The purpose of the study is to determine the possibility of allocating clusters of stable physiological states of biathletes, their recurrence, the relationship with physiological indicators and to identify barriers that negatively affect the timely adjustment of the functional state of athletes.

Materials and methods. Results. It is concluded that the clustering of the functional state of athletes in the competitive process confirmed the hypothesis that they have several stable states, detection and interpretation of changes which are possible to achieve maximum results in competitions with a certain duration of monitoring and personalized assessment of change trajectory. Most methods of automatic clustering of states in athletes give similar results. Considering that biological objects projects are able to create their own norms and constantly harmonize their capabilities to ensure the stability of functioning, it is essential to formalize biological concepts of stable states.

Conclusions. The use of the paradigm of steady states as a combination of constant physiological indicators (under non-extreme influences of external factors) can significantly facilitate the solution of the problem of predicting the results of the training process in athletes.

References

Karlenko, V. P., (1986). Optymyzatsyia trenyrovky kvalyfytsyrovannbikh byatlonystov na эtape neposred-stvennoi podhotovky k sorevnovanyiam. [Optimization of the training of qualified biathletes at the stage of direct preparation for the competition.]. Metodycheskye rekomendatsyy dlia trenerov po byatlonu. Kyiv, 24. [In Russian].

Medyko-biolohichne zabezpechennia pidhotovky sportsmeniv zbirnykh komand Ukrainy z olimpiiskykh vydiv sportu. [Medical and biological care for the training of athletes in Ukrainian national teams in Olympic sports]. Navchalno-metodychnyi posibnyk. (2009). Kyiv: Olimpiiska literatura. 141. [In Ukrainian].

Platonov, V. M., (2015). Napravlenyia sovershenstvo-vanyia systembi podhotovky sportsmenov. Systema podhotovky sportsmenov v olympyiskom sporte. Obshchaia teoiyia y ee praktycheskye prylozhenyia: uchebnyk [dlia trenerov]: v 2 kn. [Directions of the sportsmen training system improvement. The system of training athletes in Olympic sports. General theory and its practical applications: textbook [for trainers]: in 2 kn.]. K.: Olymp. Lyt., Kn. 1, 57-61. [In Russian].

Solodkov, A. S., Solohub, E., (2015). Fyzyolohyia cheloveka. Obshchaia. Sportyvnaia. Vozrastnaia. [Human physiology. General. Sports. Age]. Yzd-vo Sport-chelovek, 620. [In Russian].

Inglis, E. C., Iannetta, D., Pass, L., Murias, J. M.6 (2019). Maximal lactate steady state versus the 20-minute functional threshold power test in well-trained individuals: "Watts" the big deal? Int J Sports Physiol Perform, 1-7.

Jamnick, N. A., Botella, J., Pyne, D. B., Bishop, D. J. (2018). Manipulating graded exercise test variables affects the validity of the lactate threshold and VO2peak. PLoS One, 13, 1-21.

Jamnick, N. A., Pettitt, R. W., Granata C., Pyne D. B., Bishop D. J., (2020). An examination and critique of current methods to determine exercise intensity. Sports Med.

Schroder, A., Persson, L., De Roos, A., Lundbery, P. (2005). Direct Experimental Evidence for Alternative Stable States: A Review. Oikos, 110 (1), 3-19. URL: http://www.jstor.org/stable/3548414.

Kefi, S., Holmgren, M., Scheffer, M., (2015). When can positive interactions cause alternative stable states in ecosystems? First published: 12 November 2015. URL: https://doi.org/10.1111/1365-2435.12601.

Knowlton, N., (2004). Multiple "stable" states and the conservation of marine ecosystems. Progress in Oceanography 60, 387-396.

Ylyn, E. P., (2005). Psykhofyzyolohyia sostoianyi cheloveka [Psychophysiology of human states]. SPb.: Pyter, 412. [In Russian].

Published

2021-11-29

How to Cite

Mintser, O. P., Karlenko, V. P., Shevchenko, Y. O., & Sukhanova, O. O. (2021). CLUSTERIZATION OF FUNCTIONAL STATES OF THE ORGANISM. PILOT STUDY. Medical Informatics and Engineering, (2), 4–13. https://doi.org/10.11603/mie.1996-1960.2021.2.12449

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Articles