Function test of the activity and interrelations of lower extremity muscles of football players with the use of surface electromyography method

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Abstract


“Efficient performance” of physical activity is becoming a vital trend in modern football, which requires maximum objectification of the functional state of muscles. Aim: studying the electrical activity and functional relationships of sartorius and crurae muscles involved in phase movements of walking (running) by the method of multichannel registration of surface electromyogram (SEMG). Materials and methods: the study engaged the students of KSMU attending the football section and participating in football matches (n = 12). The electrical activity (EA) of the muscles involved in the implementation of walking (running): biceps femoris, musculus semimembranosus of the thigh and tibilais anterior muscle was registered. EA research was conducted with maximum volitional muscle tension. The recording was conducted using an 8-channel electroneuromyograph Neuro-MVP-8 prior to the football training and 30-60 minutes after. The data obtained were checked using Shapiro - Wilk tests. Ansari-Bradley test was used for small groups. Lastly, Kendall correlation coefficient was calculated to evaluate the functional relationships between the parameters of muscle EA. Results : The most significant changes in EA parameters after training consisted in their correlation. The presence of medium negative correlations between musculus semimembranosus of the thigh on right and left (r = -0.349) and the absence of correlation between the latter in the amplitude of EA were registered. Concurrently, positive correlations were noted between the EA parameters of the biceps femoris and semimembranosus (values ram.= 0,204, rfreq.= 0,226), as well as biceps femoris and tibilais (values ram.= 0,486, rfreq.= 0,452) of the left feet of football players. Conclusion: SEMG allows you to quantify the changes in electrical activity and functional connection of the muscles of the thigh and crurae involved in stepping and running. A realignment of the functional muscle complexes appears, which contributes to motor actions and implementation of dribbling after a training.


About the authors

O. A Shevelev

Peoples’ Friendship University of Russia, Moscow (RUDN University)

Author for correspondence.
Email: nkhodorovich@mail.ru
Moscow, Russia

N. A Khodorovich

Peoples’ Friendship University of Russia, Moscow (RUDN University)

Email: nkhodorovich@mail.ru
Moscow, Russia

I. L Privalova

Kursk State Medical University

Email: nkhodorovich@mail.ru
Kursk, Russian Federation

E. O Sheveleva

Peoples’ Friendship University of Russia, Moscow (RUDN University)

Email: nkhodorovich@mail.ru
Moscow, Russia

E. A Bobrovskii

Kursk State Medical University

Email: nkhodorovich@mail.ru
Kursk, Russian Federation

V. V Pushkina

Kursk State Medical University

Email: nkhodorovich@mail.ru
Kursk, Russian Federation

A. A Taglanov

Kursk State Medical University

Email: nkhodorovich@mail.ru
Kursk, Russian Federation

References

  1. Godik V.A., Godik M.A., Cherchesov S.S. et al. The technology and particular issues associated with data analysis on distribution of motor activity volumes in different speed ranges. Test matches Russia — Brazil and Russia — France. Available from http:// static.rfs.ru/content/page/document/2018/11/5bec85a9b9841. pdf [Accessed 19 th November 2019]. (In Russ).
  2. Lanskaya O.V. Muscle bioelectric activity during sprinting. International scientific journal “Symbol of Science”. 2016;1: 22—26. (In Russ).
  3. Omid A. Khaiyat. Electromyographic activity of selected trunk, core, and thigh muscles in commonly used exercises for ACL rehabilitation. Journal of Physical Therapy Science. 2018; 30: 642—648.
  4. Rahnama N. Electromyography of selected lower-limb muscles fatigued by exercise at the intensity of soccer match-play. Journal of Electromyography and Kinesiology. 2006; 16: 257—263.
  5. Witenson A.S., Petrushanskaya K.A. Phase analysis of walking and some rhythmic movements of a person. Russian Journal of Biomechanics. 2005;9(1): 19—35. (In Russ).
  6. Piskunov I.V., Moiseev S.A., Gorodnichev R.M. Electromyograp hic study of the regulation of volitional fast cyclic leg movements during sprinting in a straight and turning. The journal of medical and biological research. 2017;5(2): 5—12. (In Russ).
  7. Tsipin L.L. Methodological aspects of the use of electromyography in the study of sports movements of different intensities. University of P.F. Lesgaft Science Notes. 2015;8(126): 188—193. (In Russ).
  8. Nikolaev S.G. Atlas on electromyography. Ivanovo PresSto. 2010. 468 p. (In Russ).
  9. Nosovsky А.М., Pihlak A.E., Logachev V.A.et al. The statistics of small samples in medical research. Russian Medical Journal: Scientific and Practical Journal. Publishing house “Medicine”. 2013;6:56—60. (In Russ).
  10. Cram Jeffery R. Cram`s introduction to surface electromyography. Rev. ed. 2004. 412 p.
  11. Kapanji A.I. Lower limb. Functional anatomy. 6th ed. Eksmo, 2009. 313 p. (In Russ).
  12. Kozlov I.M., Kadyrkaev R.A. Muscle activity of figure skaters performing special exercises. Adygea State University herald. Series 3: Pedagogy and Psychology. 2012;3: 1—10. (In Russ).

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Copyright (c) 2020 Shevelev O.A., Khodorovich N.A., Privalova I.L., Sheveleva E.O., Bobrovskii E.A., Pushkina V.V., Taglanov A.A.

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