A Novel Method for the Assessment of Muscle Injuries.
10.5763/kjsm.2015.33.2.59
- Author:
Chan KIM
1
;
Jung Hoon CHAI
;
Bo Kyeong KIM
;
Chul Hyun KIM
;
Sang Won BAE
Author Information
1. Department of Physiology and Biophysics, Eulji University School of Medicine, Daejeon, Korea.
- Publication Type:Review
- Keywords:
Muscle injury;
Tensiomyography;
Muscle belly;
Noninvasive
- MeSH:
Athletes;
Athletic Injuries;
Computer Systems;
Diagnosis;
Humans;
Ligaments;
Multiple Sclerosis;
Muscle Fatigue;
Muscle, Skeletal;
Muscles;
Rehabilitation;
Relaxation;
Reproducibility of Results;
Risk Factors;
Sports;
Sports Medicine
- From:The Korean Journal of Sports Medicine
2015;33(2):59-66
- CountryRepublic of Korea
- Language:Korean
-
Abstract:
Muscle injuries are very common in sports fields so diagnosis and prevention of them are as important as treatment in sports medicine. Many other devices for muscle diagnostics are provided, but non-invasiveness, cost, validity and reliability become a good measure of diagnosing and monitoring athletes. Tensiomyography (TMG) has been developed in the late 1980s to evaluate deficient muscle initially, and it was introduced into sports medicine and athletic training. It is a simple to use selective and non-invasive for measuring a skeletal muscle response. The method is based on the measurement of the radial displacement of muscle belly, which is caused by an electrical stimulator. The displacement is measured with an electric sensor which is connected to a computer system. It gives the information of maximal displacement of the belly (Dm) with following time parameters: delay time, contraction time (Tc), sustain time, and relaxation time. TMG studies usually focus on two common parameters: Tc and Dm. An increase in Tc indicates a muscle with a predominance of slow-twitch fibers. A decrease in Dm indicates an increase in muscle stiffness or tone. Other studies have been mainly associated with physiological characteristics of muscles, risk factors for muscle or ligament injuries, muscle fatigue, and muscle diseases such as multiple sclerosis. We think the application of TMG to the sports field can reduce the risk of sports injuries and increase performance of athletes. In medical field, it allows functional diagnosis of muscle strain, monitoring rehabilitation, and modifying treatment strategy effectively.
