Disselhorst-Klug Catherine, Schmitz-Rode Thomas, Rau Günter
Applied Medical Engineering, Helmholtz-Institute for Biomedical Engineering, RWTH Aachen University, Pauwelsstrasse 20, Aachen, Germany.
Clin Biomech (Bristol). 2009 Mar;24(3):225-35. doi: 10.1016/j.clinbiomech.2008.08.003. Epub 2008 Oct 11.
The estimation of the force generated by an activated muscle is of high relevance not only in biomechanical studies but also more and more in clinical applications in which the information about the muscle forces supports the physician's decisions on diagnosis and treatment. The surface electromyographic signal (sEMG) reflects the degree of activation of skeletal muscles and certain that the sEMG is highly correlated to the muscle force. However, the largest disadvantage in predicting the muscle force from sEMG is the fact that the force generated by a muscle cannot be directly measured non-invasively. Indirect measurement of muscle force goes along with other unpredictable factors which influence the detected force but not necessarily the sEMG data. In addition, the sEMG is often difficult to interpret correctly. The sEMG-force relationship has been investigated for a long time and numerous papers are available. This review shows the limitations in predicting the muscle force from sEMG signals and gives some perspectives on how these limitations could be overcome, especially in clinical applications, by using novel ways of interpretation.
对激活肌肉产生的力进行估计不仅在生物力学研究中具有高度相关性，而且在临床应用中也越来越重要，在临床应用中，有关肌肉力量的信息有助于医生做出诊断和治疗决策。表面肌电信号（sEMG）反映了骨骼肌的激活程度，并且可以确定sEMG与肌肉力量高度相关。然而，从sEMG预测肌肉力量的最大缺点是，肌肉产生的力无法通过非侵入性方式直接测量。肌肉力量的间接测量还伴随着其他不可预测的因素，这些因素会影响检测到的力量，但不一定影响sEMG数据。此外，sEMG常常难以正确解读。sEMG与力量之间的关系已经研究了很长时间，有大量相关论文。这篇综述展示了从sEMG信号预测肌肉力量的局限性，并就如何通过使用新颖的解读方法克服这些局限性给出了一些观点，尤其是在临床应用中。
