Tensiomyography method used for neuromuscular assessment of muscle training

BackgroundWithin the structure of the skeletal muscle, there are fascicles of muscular fibers that are made up of serially distributed contractile elements. These elements are controlled by the nervous system, control which results in obtaining the muscular strength required for movement and its control. This study presents the neuromuscular assessment using tensiomyography method (TMG).MethodsWe studied two groups of soccer junior players, group 1 (experimental group) and group 2 (control group), each containing 15 soccer players; we have considered two situations of muscle training: the combination between the isometric-concentric contraction for group 1 and the concentric contraction for group 2. TMG is the electrical stimulation of the muscle group and the recording of the muscle parameters resulting after the isometric contraction: time contraction (Tc) and displacement (Dm) at rectus femoris muscle (RF), pointing out two moments T1 and T2.ResultsTc decreasing and the Dm increasing involve a good response following the muscle training. For group 1, the Tc evolution is 22.54 ms/22.45 ms (T1/T2) for the right RF and 22.65 ms/22.26 ms for the left RF, while for group 2 results in a Tc evolution of 24.33 ms/28.57 ms (T1/T2) for the right RF and 25.74 ms/28.61 ms for the left RF. Dm for group 1, results in a 6.57 mm/6.85 mm (T1/T2) for the right RF and 6.92 mm/7.06 mm for the left RF, while for group 2, the Dm evolution shows 7.45 mm/5.83 mm (T1/T) for the right RF and 7.41 mm/6.26 mm for the left RF. Also, the evaluation on motor test indicated better results on T2 for the experimental group. Summarizing the results of Student t-test, we found significant differences between the averages of the two groups in all parameters (p < 0.001), the experimental group registering better results than the control one.ConclusionsIt is possible to develop muscle training which can be monitored through TMG.

[1]  M. Weiner,et al.  Strength, skeletal muscle composition, and enzyme activity in multiple sclerosis. , 1997, Journal of applied physiology.

[2]  J. Michael Textbook of Medical Physiology , 2005 .

[3]  Raja Dahmane,et al.  Adaptive potential of human biceps femoris muscle demonstrated by histochemical, immunohistochemical and mechanomyographical methods , 2006, Medical and Biological Engineering and Computing.

[4]  Joseph Hamill,et al.  Gait initiation in multiple sclerosis. , 2008, Motor control.

[5]  A. Achiron,et al.  Gait analysis in multiple sclerosis: characterization of temporal-spatial parameters using GAITRite functional ambulation system. , 2009, Gait & posture.

[6]  Vojko Valencic,et al.  Spatial fiber type distribution in normal human muscle Histochemical and tensiomyographical evaluation. , 2005, Journal of biomechanics.

[7]  Aaron Saguil Evaluation of the patient with muscle weakness. , 2005, American family physician.

[8]  V. Valencic,et al.  Evaluation of the ability to make non-invasive estimation of muscle contractile properties on the basis of the muscle belly response , 2006, Medical and Biological Engineering and Computing.

[9]  R. Lieber Skeletal Muscle Structure and Function: Implications for Rehabilitation and Sports Medicine , 1992 .

[10]  B. Šimunič,et al.  Evaluation of muscle dynamic response measured before and after treatment of spastic muscle with a BTX-A − A case study , 2007 .

[11]  Rado Pišot,et al.  Whole muscle contractile parameters and thickness loss during 35-day bed rest , 2008, European Journal of Applied Physiology.