Investigation of muscle fatigue of the archer’s during endurance shooting

Authors

  • Z.A. Hamdan Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia. Phone: +6094315401
  • Z. Ahmad Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia. Phone: +6094315401
  • N.H. Johari Faculty of Mechanical and Automotive Engineering Technology, Universiti Malaysia Pahang, 26600 Pahang, Malaysia. Phone: +6094315401

DOI:

https://doi.org/10.15282/jmes.16.3.2022.02.0711

Keywords:

Archery, EMG, Muscle fatigue, Endurance

Abstract

Endurance of Drawing-Aim-Release (DAR) during the shooting process in archery will be causing the muscles to fatigue. Besides, the archer's inability to use the right muscles for DAR will lead to a muscle injury as well as dropping the performance. This study aims  to monitor the localized muscle fatigue of an archer during the repetitive DAR and its effect to the archer’s performance. Wet electrode sensors were placed on the specific muscles that are heavily involved in DAR such as Muscle Extensor Digitorum (MED) on the archer's bow arm and the Supraspinatus muscle at the shoulder. In order to induce fatigue, the archer has shot 72 arrows continously in 2 rounds of set. The surface electromyography (sEMG) signals of the muscle contraction are recorded during the shooting for the post-processing analysis. Each score of the shooting  was also recorded to correlate with the effect of muscle fatigue to the archer’s performance. The finding of this study is that the MED and Supraspinatus begin to fatigue toward the end of each shooting round. The Root Mean Square (RMS) and Median Frequency (MDF) values for both targeted muscles increased significantly during the 6th end compare to the 1st end. It is also found that there is no correlation between muscle fatigue on MED and Supraspinatus to the score obtained by the archer where the F value is lower than F-critical while Draw (1.9339), Aim (1.3754) and Release (0.6515) phases. In conclusion, this experiment benefits archers and coaches to identify which muscles are vigorously used during the DAR process and allows for precaution and prevention procedures.

References

H. Nishizono, H. I. Shibayama, T. Izuta, and K. Saito, “Analysis of archery shooting techniques by means of electromyography,” ISBS-Conference Proc. Arch., pp. 364–372, 1987.

M. D and L. N, “Shoulder injuries in archery,” Can. J. Sport Sci., vol. 14, no. 2, pp. 85–92, 1989.

P. Leroyer, J. Van Hoecke, and J. N. Helal, “Biomechanical study of the final push-pull in archery,” J. Sports Sci., vol. 11, no. 1, pp. 63–69, 1993.

C. T. F. Tse, A. C. McDonald, and P. J. Keir, “Adaptations to isolated shoulder fatigue during simulated repetitive work. Part I: Fatigue,” J. Electromyogr. Kinesiol., vol. 29, pp. 34–41, 2016.

A. C. McDonald, C. T. F. Tse, and P. J. Keir, “Adaptations to isolated shoulder fatigue during simulated repetitive work. Part II: Recovery,” J. Electromyogr. Kinesiol., vol. 29, pp. 42–49, 2016.

J. K. Grover and A. G. K. Sinha, “Prevalence of shoulder pain in competitive archery,” Asian J. Sports Med., vol. 8, no. 1, Mar. 2017.

H. Ertan, “Muscular activation patterns of the bow arm in recurve archery,” Journal of Science and Medicine in Sport, vol. 12, no. 3. pp. 357–360, 2009.

A. Singh and S.-H. Lhee, “Injuries in archers,” Saudi J. Sport. Med., vol. 16, no. 3, p. 168, 2016.

C.-T. Lo, S.-H. Huang, and T.-M. Hung, “A study of the relationship between heart rate variability and archery performance,” International Journal of Psychophysiology, vol. 69, no. 3. p. 276, 2008.

C. Açıkada, T. Hazır, A. Asçı, S. H. Aytar, and C. Tınazcı, “Effect of heart rate on shooting performance in elite archers,” Heliyon, vol. 5, no. 3. 2019.

Z. Ahmad, Z. Taha, H. A. Hassan, M. A. Hisham, N. H. Johari, and K. Kadirgama, “Biomechanics measurement in archery,” J. Mech. Eng. Sci., vol. 6, no. 1, pp. 762–771, 2014.

D. Wattanaprakornkul, M. Halaki, C. Boettcher, I. Cathers, and K. A. Ginn, “A comprehensive analysis of muscle recruitment patterns during shoulder flexion: An electromyographic study,” Clin. Anat., vol. 24, no. 5, pp. 619–626, Jul. 2011.

Y. Zhou et al., “Comparison of machine learning methods in sEMG signal processing for shoulder motion recognition,” Biomed. Signal Process. Control, vol. 68, no. March, p. 102577, 2021.

N. M. Nur, S. Z. M. Dawal, M. Dahari, and J. Sanusi, “Muscle activity, time to fatigue, and maximum task duration at different levels of production standard time,” J. Phys. Ther. Sci., vol. 27, no. 7, pp. 2323–2326, 2015.

M. A. Ayaz, Muhammad Waqas Qureshi, and Imran Ahmad, “Arduino Based Fatigue Level Measurement in Muscular Activity using RMS Technique,” International Conference on e-Health and Bioengineering (EHB), vol. 1, 2020.

P. Sarker and G. A. Mirka, “The effects of repetitive bouts of a fatiguing exertion (with breaks) on the slope of EMG measures of localized muscle fatigue,” J. Electromyogr. Kinesiol., vol. 51, no. June 2019, 2020.

M. D. F. Ma’As, Masitoh, A. Z. U. Azmi, and Suprijanto, “Real-time muscle fatigue monitoring based on median frequency of electromyography signal,” Proc. 2017 5th Int. Conf. Instrumentation, Control. Autom. ICA 2017, pp. 135–139, 2017.

A. Phinyomark, S. Thongpanja, H. Hu, P. Phukpattaranont, and C. Limsakul, “The usefulness of mean and median frequencies in electromyography analysis,” in Computational Intelligence in Electromyography Analysis - A Perspective on Current Applications and Future Challenges, InTech, 2012.

M. H. Alhaag et al., “Determining the fatigue associated with different task complexity during maintenance operations in males using electromyography features,” Int. J. Ind. Ergon., vol. 88, 2022.

T. O. Borges et al., “Physiological demands of archery: effect of experience level,” Rev Bras Cineantropom Hum, vol. 22, 2020.

Downloads

Published

2022-09-28

How to Cite

[1]
Z. A. Hamdan, Z. Ahmad@Manap, and N. H. Johari, “Investigation of muscle fatigue of the archer’s during endurance shooting”, J. Mech. Eng. Sci., vol. 16, no. 3, pp. 8987–8995, Sep. 2022.