Skip to main content
Top
Published in: Journal of NeuroEngineering and Rehabilitation 1/2013

Open Access 01-12-2013 | Research

Tensiomyography method used for neuromuscular assessment of muscle training

Authors: Ligia D Rusu, Germina GH Cosma, Sorina M Cernaianu, Mihnea N Marin, PetreFlorinel A Rusu, Daniel P Ciocănescu, Florin N Neferu

Published in: Journal of NeuroEngineering and Rehabilitation | Issue 1/2013

Login to get access

Abstract

Background

Within 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).

Methods

We 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.

Results

Tc 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.

Conclusions

It is possible to develop muscle training which can be monitored through TMG.
Appendix
Available only for authorised users
Literature
1.
go back to reference Šimunic B, Pisot R, Djordjevic S, Kugovnik O: Age related changes of the skeletal muscle contractile properties. In Proceedings of the 4th International Scientific Conference on Kinesiology “Science and Profession - Challenge for the Future” Edited by: Milanović D, Prot F. 2005, 570-573. Šimunic B, Pisot R, Djordjevic S, Kugovnik O: Age related changes of the skeletal muscle contractile properties. In Proceedings of the 4th International Scientific Conference on Kinesiology “Science and Profession - Challenge for the Future” Edited by: Milanović D, Prot F. 2005, 570-573.
2.
go back to reference Guyton AC, Hall JE: Textbook of medical physiology. 10th edition. Philadelphia Pa.: London: W. B. Saunders; 2000. Guyton AC, Hall JE: Textbook of medical physiology. 10th edition. Philadelphia Pa.: London: W. B. Saunders; 2000.
3.
go back to reference Lieber RL: Skeletal muscle structure and function: implication for rehabilitation and sports medicine. Baltimore: Williams & Wilkins; 1992. Lieber RL: Skeletal muscle structure and function: implication for rehabilitation and sports medicine. Baltimore: Williams & Wilkins; 1992.
4.
go back to reference Dahmane R, Valenčič V, Knez N, Eržen I: Evaluation of the ability to make non-invasive estimation of muscle contractile properties on the basis of the muscle belly response. Med Biol Eng Comput 2001,39(1):51-55. 10.1007/BF02345266CrossRefPubMed Dahmane R, Valenčič V, Knez N, Eržen I: Evaluation of the ability to make non-invasive estimation of muscle contractile properties on the basis of the muscle belly response. Med Biol Eng Comput 2001,39(1):51-55. 10.1007/BF02345266CrossRefPubMed
5.
go back to reference Dahmane R, Djorddievic S, Šimunic B, Valencic V: Spatial fiber type distribution in normal human muscle histochemical and tensiomyographical evaluation. J Biomech 2005,38(12):2451-2459. 10.1016/j.jbiomech.2004.10.020CrossRefPubMed Dahmane R, Djorddievic S, Šimunic B, Valencic V: Spatial fiber type distribution in normal human muscle histochemical and tensiomyographical evaluation. J Biomech 2005,38(12):2451-2459. 10.1016/j.jbiomech.2004.10.020CrossRefPubMed
6.
go back to reference Dahmane R, Djordievic S, Smerdu V: Adaptive potential of human biceps femoris muscle demonstrated by histochemical, immunohistochemical and mechanomyographical methods. Med Biol Eng Comput 2006,11(44):999-1006.CrossRef Dahmane R, Djordievic S, Smerdu V: Adaptive potential of human biceps femoris muscle demonstrated by histochemical, immunohistochemical and mechanomyographical methods. Med Biol Eng Comput 2006,11(44):999-1006.CrossRef
7.
go back to reference Kent-Braun JA, Castro M, Winer M, Gelinas D, Dudley GA, Miller G: Strength, skeletal muscle composition, and enzyme activity in multiple sclerosis. J Appl Physiol 1997,6(83):1998-2004. Kent-Braun JA, Castro M, Winer M, Gelinas D, Dudley GA, Miller G: Strength, skeletal muscle composition, and enzyme activity in multiple sclerosis. J Appl Physiol 1997,6(83):1998-2004.
8.
go back to reference Krizaj D, Grabljevec K: Evaluation of muscle dynamic response measured before and after treatment of spastic muscle with a BTX-A: a case study. In Proceedings of the 11th Mediterranean Conference on Medical and Biological Enginering and Computing, 26–30 June, 2007, Ljubljana, Slovenia, Volume 16. Edited by: Springer- International Federation for Medical and Biological Engineering. New York: Springer- International Federation for Medical and Biological Engineering; 2007:393-396.CrossRef Krizaj D, Grabljevec K: Evaluation of muscle dynamic response measured before and after treatment of spastic muscle with a BTX-A: a case study. In Proceedings of the 11th Mediterranean Conference on Medical and Biological Enginering and Computing, 26–30 June, 2007, Ljubljana, Slovenia, Volume 16. Edited by: Springer- International Federation for Medical and Biological Engineering. New York: Springer- International Federation for Medical and Biological Engineering; 2007:393-396.CrossRef
9.
go back to reference Pisot R, Narici M, Šimunic B, De Boer MD, Seynnes O, Jurdana M, Biolo G, Mekiavic IB: Whole muscle contractile parameters and thickness loss during 35-day bed rest. Eur J Appl Physiol 2008,2(104):409-414.CrossRef Pisot R, Narici M, Šimunic B, De Boer MD, Seynnes O, Jurdana M, Biolo G, Mekiavic IB: Whole muscle contractile parameters and thickness loss during 35-day bed rest. Eur J Appl Physiol 2008,2(104):409-414.CrossRef
10.
go back to reference Remelius JG, Hamill J, Kent-Braun J, Van Emmerik RE: Gait initiation in multiple sclerosis. Mot Control 2008,12(2):93-108. Remelius JG, Hamill J, Kent-Braun J, Van Emmerik RE: Gait initiation in multiple sclerosis. Mot Control 2008,12(2):93-108.
11.
go back to reference Saguil A: Evaluation of the Patient with Muscle Weakness. Am Fam Physician 2005,7(71):25-30. Saguil A: Evaluation of the Patient with Muscle Weakness. Am Fam Physician 2005,7(71):25-30.
12.
go back to reference Givon U, Zeilig G, Achiron A: Gait analysis in multiple sclerosis: characterization of temporal-spatial parameters using GAITRite functional ambulation system. Gait Posture 2009,29(1):138-142. 10.1016/j.gaitpost.2008.07.011CrossRefPubMed Givon U, Zeilig G, Achiron A: Gait analysis in multiple sclerosis: characterization of temporal-spatial parameters using GAITRite functional ambulation system. Gait Posture 2009,29(1):138-142. 10.1016/j.gaitpost.2008.07.011CrossRefPubMed
Metadata
Title
Tensiomyography method used for neuromuscular assessment of muscle training
Authors
Ligia D Rusu
Germina GH Cosma
Sorina M Cernaianu
Mihnea N Marin
PetreFlorinel A Rusu
Daniel P Ciocănescu
Florin N Neferu
Publication date
01-12-2013
Publisher
BioMed Central
Published in
Journal of NeuroEngineering and Rehabilitation / Issue 1/2013
Electronic ISSN: 1743-0003
DOI
https://doi.org/10.1186/1743-0003-10-67

Other articles of this Issue 1/2013

Journal of NeuroEngineering and Rehabilitation 1/2013 Go to the issue