Abstract: An exhaustive review has been made to filter the studies that have analyzed muscle function though tensiomyography (TMG) with elite or well-trained athletes. The results of this review indicate that the several protocols used in athletes to find the displacement-time curve with greater maximum radial muscle displacement showed a good-excellent reliability. TMG has been used to characterize athletes’ muscles contractile properties from specific sports disciplines, although there are very few sports that have been deeply analyzed. TMG seems to be useful to determine changes in muscles contractile properties after stimuli of competition, training or recovery. These changes have been strongly related with the fatigue produced after an effort. In addition, TMG parameters could be used to control training effects during a specific period or throughout the season being also a very useful tool to individualize athletes training loads. In this sense, it also seems to provide sports performance information in cyclic sports by relating some TMG parameters with performance indicators. On the other hand, the TMG-BCM algorithm has been used as a lateral and functional symmetry measure and as a monitoring tool for injury prevention and recovery. However, it seems to be no clear criterion that determines asymmetry degree, nor established contractile properties values as a reference to prevent or recover sports injuries. Despite the utility shown in these fields, there are still very few sports analyzed and it is really necessary to continue advancing in the knowledge of the contractile properties behavior, such as the effects of athletes’ training, competitions and injuries and even in the parameters interpretation obtained with the TMG.

Keywords: TMG, contractile properties, elite athletes, neuromuscular parameters, muscle assessment, muscle response


中文翻译：

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张力描记术在运动员肌肉功能分析中的临床应用

摘要：已经进行了详尽的审查，以筛选通过肌肉张力描记术（TMG）与精英或训练有素的运动员进行肌肉功能分析的研究。这篇综述的结果表明，运动员用于寻找具有最大最大radial肌位移的位移时间曲线的几种方案显示出了很好的可靠性。尽管很少有人对运动进行深入分析，但TMG已被用于表征特定运动学科的运动员肌肉收缩特性。TMG似乎对确定竞争，训练或恢复刺激后肌肉收缩特性的变化很有用。这些变化与努力后产生的疲劳密切相关。此外，TMG参数可用于控制特定时期或整个赛季的训练效果，这也是区分运动员训练负荷的非常有用的工具。从这个意义上讲，它似乎还可以通过将一些TMG参数与性能指标相关联来提供周期运动中的运动性能信息。另一方面，TMG-BCM算法已用作横向和功能上的对称性度量，并且已用作伤害预防和恢复的监视工具。但是，似乎没有确定不对称程度的明确标准，也没有既定的收缩特性值作为预防或恢复运动损伤的参考。尽管在这些领域中显示出实用性，但仍很少分析运动，确实有必要继续提高对收缩性行为的认识，

关键词： TMG收缩特性优秀运动员神经肌肉参数肌肉评估肌肉反应