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Combining several Most Voluntary Isometric Contraction to improve the reproducibility of the sEMG normalization of the gastrocnemius muscle

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Combining several Most Voluntary Isometric Contraction to improve

the reproducibility of the sEMG normalization of the gastrocnemius

muscle

1 Cédric Schwartz cedric.schwartz@uliege.be Laboratory of Human Motion Analysis, ULiège, Liège, Belgium

2 Bénédicte Forthomme bforthomme@chuliege.be Laboratory of Human Motion Analysis, ULiège, Liège, Belgium

3 Olivier Brüls o.bruls@uliege.be Laboratory of Human Motion Analysis, ULiège, Liège, Belgium

4 Vincent Denoël v.denoel@uliege.be Laboratory of Human Motion Analysis, ULiège, Liège, Belgium

5 Jean-Louis Croisier jlcroisier@uliege.be Laboratory of Human Motion Analysis, ULiège, Liège, Belgium

Introduction

The lower limb muscles play an important role in the quality of gait. sEMG is commonly used to evaluate muscle contractions intensity 1 during quantified gait evaluations. There is, however, no unequivocal relationship between

the amplitude of the electrical signal and the force exerted by the muscle because of intrinsic and extrinsic factors 2.

Consequently, electromyographic recordings need to be normalized if comparisons between subjects or of one subject at different times are sought. Maximal voluntary isometric contractions (MVIC) are commonly used 3.

Most studies based the normalization of the EMG on a single position for the MVICs even though some results

4 suggest that several positions are needed. A key factor to use EMG evaluations for rehabilitation or clinical trials

is the ability to obtain reliable measurements over time. To the best of our knowledge, little has been done to evaluate the effect of combining several MVICs positions on the inter-session reproducibility of the maximal voluntary activation (MVA) determination for the lower limb.

Research Question

The effect of combining several positions for MVIC for the medial and lateral gastrocnemius on the inter-session reproducibility of MVA was evaluated.

Methods

Eleven volunteers (23.6 ± 1.0 years old) were asked to perform three MVIC in six positions (unipodal leg straight, bipodal leg straight, bipodal leg flexed at 90°, prone 10° dorsiflexion, prone neutral, prone 30° plantarflexion). The same test was performed twice at one-week interval. For each muscle, the best combination of positions providing 90% of MVA for 90% of the volunteers with an inter-session MVA difference inferior to 10% of MVA was computed.

Results

When considering only the 90% of MVA for 90% of the volunteers, the unipodal standing position was enough for the medial gastrocnemius but no single position was found for the lateral gastrocnemius (figure 1). When the criterion of reproducibility was taken into account, several positions were needed for both muscles. For the medial gastrocnemius, the bipodal standing position and prone neutral were recommended. For the lateral gastrocnemius, the same positions as the medial gastrocnemius were needed plus the unipodal standing position.

Discussion

The present research has demonstrated that all subjects do not perform their maximal activation in the same position and in a reproducible way. This result which has already been demonstrated for the shoulder muscles

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5 is here shown on for muscular group having lower level of muscular redundancy. The ability to obtain a

maximal activation of the volunteers/patients have a direct impact on the normalized EMG signal and therefore on the clinical interpretation of it (diagnosis, effect of treatment/revalidation protocol …). Based on our results, we would therefore recommend that the normalization of the EMG signal should be based on MVIC performed in several positions.

References

1.

De Luca CJ. The use of surface electromyography in biomechanics. J Appl Biomech.

1993;13(2):135-163.

2.

Halaki M, Ginn K a. Normalization of EMG Signals: To Normalize or Not to Normalize and What

to Normalize to? In: Naik GR, ed. Computational Intelligence in Electromyography Analysis - A

Perspective on Current Applications and Future Challenges. InTech; 2012:175-194.

doi:10.5772/49957.

3.

Burden A. How should we normalize electromyograms obtained from healthy participants?

What we have learned from over 25 years of research. J Electromyogr Kinesiol.

2010;20(6):1023-1035. doi:10.1016/j.jelekin.2010.07.004.

4.

Rutherford DJ, Hubley-Kozey CL, Stanish WD. Maximal voluntary isometric contraction

exercises: A methodological investigation in moderate knee osteoarthritis. J Electromyogr

Kinesiol. 2011;21(1):154-160. doi:10.1016/j.jelekin.2010.09.004.

5.

Schwartz C, Tubez F, Wang F-C, et al. Normalizing shoulder EMG: An optimal set of maximum

isometric voluntary contraction tests considering reproducibility. J Electromyogr Kinesiol.

2017;37. doi:10.1016/j.jelekin.2017.08.005.

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