Determining voluntary activation in synergistic muscles: new insights from a mechanomyographic approach
<p><strong>Aim: </strong>We propose a new approach based on the mechanomyographic (MMG) signal to detect the voluntary activation (VA) of the synergistic superficial heads of quadriceps muscle. We hypothesised that, after a fatiguing task, the changes in MMG signal of each quadriceps’ head would correlate with the level of VA of the whole quadriceps.</p> <p><strong>Methods: </strong>Twenty-five men [age:25(1) yrs; body mass:77(2) kg; stature:1.81(0.02) m] underwent a unilateral single-leg quadriceps exercise up to failure. Before and after the intervention, VA was assessed by the interpolated twitch technique via nerve stimulation during and after a maximum voluntary contraction (MVC). Along with force, the MMG signal was recorded from <em>vastus lateralis</em>, <em>vastus medialis</em>, and <em>rectus femoris </em>muscles. The MMG peak-to-peak was calculated and the voluntary activation index (VA<sub>MMG</sub>) as the superimposed/potentiated MMG peak-to-peak ratio, was determined from the MMG signal for each head. </p> <p><strong>Results</strong>: VA<sub>MMG</sub> presented very-high reliability (ICC:0.975-0.998) and sensitivity (MDC<sub>95%</sub>: 0.4%-4.26%). Fatigue reduced MVC and VA in both the exercised [-17(5)%, ES:-0.92 and -7(3)%, ES:-1.90 for MVC and VA, respectively] and the contralateral limb [-15(7)%, ES:-0.87 and -7(3)%, ES:-2.32 for MVC and VA, respectively]. VA<sub>MMG </sub>decreased in both the exercised [~-9(6)%, ES:-1.00] and the contralateral limb [~-5(2)%, ES:-1.12], with larger VA<sub>MMG</sub> decrements occurring in <em>vastus medialis</em> in the exercised limb only. Moderate to very high correlations were found between VA<sub>MMG</sub>and VA (<em>R</em>= 0.503-0.886) before and after fatigue. </p> <p><strong>Conclusions: </strong>VA<sub>MMG</sub> may be implemented to assess VA and could provide further information when different synergistic muscle heads are involved in a fatiguing task.</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 8
- Engagement
- 0
Topics
Dataset details
- Repository
- zenodo
- Published
- September 27, 2021
- License
- cc-by-4.0
- DOI
- 10.5281/zenodo.5534421
Scored with release 0.9.0
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