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Normalization of EMG Signals: Optimal MVC Positions for the Lower Limb Muscle Groups in Healthy Subjects

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Abstract

Purpose

A comprehensive investigation of various maximum voluntary contraction (MVC) positions to determine the optimal positions for vastus lateralis (VL), biceps femoris (BF), gastrocnemius lateralis (GL), and tibialis anterior (TA).

Methods

Twelve participants performed total of seventeen MVC positions for major lower limb muscle groups (VL, BF, GL, and TA). Neuromuscular activities were recorded by surface electromyography. Signals were smoothed by root mean square (RMS). Each MVC level were expressed as a percentage of MVC (% MVC). Statistical differences were measured with a one-way repeated measures analysis of variance and a Tukey’s HSD (p < 0.05).

Results

Optimal MVC positions were found as follows: (i) VL: the combination of knee extension at 70° and 90° flexed knee in sitting position; (ii) BF: the combination of knee flexion at 30°, 45°, and 60° flexed knee in prone position; (iii) GL: unipedal standing position; (iv) TA: the combination of dorsiflexion in sitting position and ankle neutral, in standing position and ankle 110°, and in standing position and ankle 70°.

Conclusion

This study confirms that multiple positions were needed to elicit the maximal MVC values for VL, BF, and TA. For GL, single MVC position should be performed to elicit the maximal MVC.

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Data Availability

The data that support the findings of this study are available from the corresponding author (BKS), upon reasonable written request.

References

  1. Emanuel Singh, R., Iqbal, K., White, G., & Holtz, K. (2019). A review of EMG techniques for detection of gait disorders. Artificial Intelligence Applications in Medicine and Biology. https://doi.org/10.5772/intechopen.84403

    Article  Google Scholar 

  2. Malone, A., Meldrum, D., Gleeson, J., & Bolger, C. (2013). Electromyographic characteristics of gait impairment in cervical spondylotic myelopathy. European Spine Journal, 22(11), 2538–2544. https://doi.org/10.1007/s00586-013-2928-9.

    Article  PubMed  PubMed Central  Google Scholar 

  3. Konrad, P. (2005). The ABC of EMG A practical introduction to kinesiological electromyography. Retrieved from www.noraxon.com

  4. Zhao, K., Zhang, Z., Wen, H., & Scano, A. (2021). Intra-subject and inter-subject movement variability quantified with muscle synergies in upper-limb reaching movements. Biomimetics, 6(4), 63. https://doi.org/10.3390/biomimetics6040063.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Araujo, R. C., Duarte, M., & Amadio, A. C. (2000). On the inter- and intra-subject variability of the electromyographic signal in isometric contractions. Electromyography and Clinical Neurophysiology, 40(4), 225–229.

    CAS  PubMed  Google Scholar 

  6. Burden, A. (2010). How should we normalize electromyograms obtained from healthy participants? What we have learned from over 25years of research. Journal of Electromyography and Kinesiology, 20(6), 1023–1035. https://doi.org/10.1016/j.jelekin.2010.07.004.

    Article  PubMed  Google Scholar 

  7. Vera-Garcia, F. J., Moreside, J. M., & McGill, S. M. (2010). MVC techniques to normalize trunk muscle EMG in healthy women. Journal of Electromyography and Kinesiology, 20(1), 10–16. https://doi.org/10.1016/j.jelekin.2009.03.010.

    Article  PubMed  Google Scholar 

  8. Bley, A. S., Correa, J. C. F., Reis, A. C., dos Rabelo, N. D. D. A., Marchetti, P. H., & Lucareli, P. R. G. (2014). Propulsion phase of the single leg triple hop test in women with patellofemoral pain syndrome: a biomechanical study. PLoS One. https://doi.org/10.1371/journal.pone.0097606

    Article  PubMed  PubMed Central  Google Scholar 

  9. Reid, D., McNair, P. J., Johnson, S., Potts, G., Witvrouw, E., & Mahieu, N. (2012). Electromyographic analysis of an eccentric calf muscle exercise in persons with and without Achilles tendinopathy. Physical Therapy in Sport, 13(3), 150–155. https://doi.org/10.1016/j.ptsp.2011.08.003.

    Article  PubMed  Google Scholar 

  10. Perry, J., & Burnfield, J. M. (2010). Gait analysis normal and pathological function. Journal of Sports Science and Medicine, 9(2), 353.

    Google Scholar 

  11. Schwartz, C., Wang, F. C., Forthomme, B., Denoël, V., Brüls, O., & Croisier, J. L. (2020). Normalizing gastrocnemius muscle EMG signal: an optimal set of maximum voluntary isometric contraction tests for young adults considering reproducibility. Gait and Posture, 82, 196–202. https://doi.org/10.1016/j.gaitpost.2020.08.129.

    Article  PubMed  Google Scholar 

  12. Rutherford, D. J., Hubley-Kozey, C. L., & Stanish, W. D. (2011). Maximal voluntary isometric contraction exercises: a methodological investigation in moderate knee osteoarthritis. Journal of Electromyography and Kinesiology, 21(1), 154–160. https://doi.org/10.1016/j.jelekin.2010.09.004.

    Article  PubMed  Google Scholar 

  13. Hébert-Losier, K., Schneiders, A. G., García, J. A., Sullivan, S. J., & Simoneau, G. G. (2011). Peak triceps surae muscle activity is not specific to knee flexion angles during MVIC. Journal of Electromyography and Kinesiology, 21(5), 819–826. https://doi.org/10.1016/j.jelekin.2011.04.009.

    Article  PubMed  Google Scholar 

  14. Lanshammar, K., & Ribom, E. L. (2011). Differences in muscle strength in dominant and non-dominant leg in females aged 20–39 years - a population-based study. Physical Therapy in Sport, 12(2), 76–79. https://doi.org/10.1016/j.ptsp.2010.10.004.

    Article  PubMed  Google Scholar 

  15. Sousa, P., Frias, A. S. R., & R., Manuel, S., & Tavares, J. R. (2012). Surface electromyographic amplitude normalization methods: A review. Electromyography new developments, procedures and applications. Nova Science Publishers Inc.

    Google Scholar 

  16. Hermens, H. J., Freriks, B., Disselhorst-Klug, C., & Rau, G. (2000). Development of recommendations for SEMG sensors and sensor placement procedures. Journal of Electromyography and Kinesiology, 10(5), 361–374. https://doi.org/10.1016/S1050-6411(00)00027-4.

    Article  CAS  PubMed  Google Scholar 

  17. Solnik, S., Rider, P., Steinweg, K., Devita, P., & Hortobágyi, T. (2010). Teager-Kaiser energy operator signal conditioning improves EMG onset detection. European Journal of Applied Physiology, 110(3), 489–498. https://doi.org/10.1007/s00421-010-1521-8.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Li, X., Zhou, P., & Aruin, A. S. (2007). Teager-kaiser energy operation of surface EMG improves muscle activity onset detection. Annals of Biomedical Engineering, 35(9), 1532–1538. https://doi.org/10.1007/s10439-007-9320-z.

    Article  PubMed  Google Scholar 

  19. Allison, G. T., Marshall, R. N., & Singer, K. P. (1993). EMG signal amplitude normalization technique in stretch-shortening cycle movements. Journal of electromyography and kinesiology: official journal of the International Society of Electrophysiological Kinesiology, 3(4), 236–244. https://doi.org/10.1016/1050-6411(93)90013-M.

    Article  CAS  PubMed  Google Scholar 

  20. Moreira, L., Figueiredo, J., Fonseca, P., Vilas-Boas, J. P., & Santos, C. P. (2021). Lower limb kinematic, kinetic, and EMG data from young healthy humans during walking at controlled speeds. Scientific Data. https://doi.org/10.1038/s41597-021-00881-3

    Article  PubMed  PubMed Central  Google Scholar 

  21. Rudolph, K. S., Axe, M. J., & Snyder-Mackler, L. (2000). Dynamic stability after ACL injury: who can hop? Knee Surgery Sports Traumatology Arthroscopy, 8(5), 262–269. https://doi.org/10.1007/s001670000130.

    Article  CAS  Google Scholar 

  22. Vigotsky, A. D., Harper, E. N., Ryan, D. R., & Contreras, B. (2015). Effects of load on good morning kinematics and EMG activity. Peer Journal. https://doi.org/10.7717/peerj.708

    Article  Google Scholar 

  23. Khaiyat, O. A., & Norris, J. (2018). Electromyographic activity of selected trunk, core, and thigh muscles in commonly used exercises for ACL rehabilitation. The Journal of Physical Therapy Science, 30(4), 642–648. https://doi.org/10.1589/jpts.30.642.

    Article  PubMed  Google Scholar 

  24. Garci, S. C., Rueda, C. L., Sua, J., Luginick, B., & Navarro, E. (2020). Differences in the electromyographic activity of lower-body muscles in hip thrust variations. Journal of Strength and Conditioning Research, 34(9), 2449–2455. https://doi.org/10.1519/JSC.0000000000002859

    Article  Google Scholar 

  25. Carlsson, U., Lind, K., Moller, M., Karlsson, J., & Svantesson, U. (2008). Plantar flexor muscle function in open and closed chain. Clinical Physiology, 21(1), 1–8. https://doi.org/10.1046/j.1365-2281.2001.00304.x.

    Article  Google Scholar 

  26. Cresswell, A. G., Scher, L., Thorstensson, W. N., Loscher, A., & W. N., & Thorstensson, A. (1995). Influence of gastrocnemius muscle length on triceps surae torque development and electromyographic activity in man. Experimental Brain Research, 105, 283–290.

    Article  CAS  PubMed  Google Scholar 

  27. Pinniger, G. J., Steele, J. R., Thorstensson, A., & Cresswell, A. G. (2000). Tension regulation during lengthening and shortening actions of the human soleus muscle. European Journal Of Applied Physiology, 81, 375–383. https://doi.org/10.1007/s004210050057.

    Article  CAS  PubMed  Google Scholar 

  28. Frigon, A., Carroll, T. J., Jones, K. E., Zehr, E. P., & Collins, D. F. (2007). Ankle position and voluntary contraction alter maximal M waves in soleus and tibialis anterior. Muscle and Nerve, 35(6), 756–766. https://doi.org/10.1002/mus.20747.

    Article  PubMed  Google Scholar 

  29. Marsh, E., Sale, D., McCOMAS, A. J., Quinlan, J., & Mccomas, A. J. (1981). Influence of joint position on ankle dorsiflexion in humans. Journal of Applied Physiology Respiratory Environmental Exercise Physiology, 51(1), 160–167.

    CAS  PubMed  Google Scholar 

  30. Linden, D. W., vander, Kukulka, C. G., & Soderberg, G. L. (1991). The effect of muscle length on motor unit discharge characteristics in human tibialis anterior muscle. Experimental Brain Research, 84, 210–218.

    Article  Google Scholar 

  31. Duchateau, J., & Enoka, R. M. (2016). Neural control of lengthening contractions. Journal of Experimental Biology, 219(2), 197–204. https://doi.org/10.1242/jeb.123158.

    Article  PubMed  Google Scholar 

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Funding

The authors declare that no funds, grants, or other support were received during the preparation of this manuscript.

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Authors

Contributions

All authors contributed to the study design. GA was primarily responsible for the study design, data collection, and analysis and prepared the first draft of this manuscript. SO assisted with the study design, data collection, analysis, and manuscript editing. BS assisted with study design and manuscript editing. All authors have read and approved the final manuscript.

Corresponding author

Correspondence to Bryan K. Smith.

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Conflict of interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Ethical Approval

The study was performed following the principles outlined in the Helsinki Declaration and it was approved by the Ethics Committee of Southern Illinois University Edwardsville (Date: April 29, 2021 / No: 1206).

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Informed consent was obtained from all individual participants included in the study.

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The authors affirm that human research participants provided informed consent for publication of the images in Fig. 1.

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Avdan, G., Onal, S. & Smith, B.K. Normalization of EMG Signals: Optimal MVC Positions for the Lower Limb Muscle Groups in Healthy Subjects. J. Med. Biol. Eng. 43, 195–202 (2023). https://doi.org/10.1007/s40846-023-00782-3

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