Kian-Bostanabad Sharareh, Azghani Mahmood-Reza
Department of Mechanical Engineering, Sahand University of Technology, Tabriz, Iran.
Department of Biomechanics, Sahand University of Technology, Tabriz, Iran.
Med Eng Phys. 2017 May;43:92-96. doi: 10.1016/j.medengphy.2017.01.020. Epub 2017 Feb 28.
The knowledge of muscle function may affect prescribing medications and physical treatments. Recently, ultrasound and electromyography (EMG) have been used to assess the skeletal muscles activity. The relationship between these methods has been reported in numerous articles qualitatively. In this paper, the relationship between EMG root-mean-square (RMS) and ultrasound data of muscle thickness has been investigated using Response Surface Methodology in the muscles separately and together and predictive models reported. Results show that to assess the relationship between the changes of thickness and activity (EMG) in muscles, we can use quadratic model for the rectus femoris, tibialis anterior, transverse abdominal, biceps brachii and brachialis muscles (R=0.624-0.891) and linear model for the internal and external oblique abdominal, lumbar multifidus and deep cervical flexor muscles (R=0.348-0.767). Due to the high correlation coefficient for the equations in the bulky muscles, it seems that the correlation between EMG RMS and ultrasound data of muscle thickness on the bulky muscles is higher than the flat muscles. This relationship may depend more on the type of activity than the type of muscle.
对肌肉功能的了解可能会影响药物处方和物理治疗。最近,超声和肌电图(EMG)已被用于评估骨骼肌活动。许多文章定性地报道了这些方法之间的关系。本文采用响应面法分别和共同研究了肌肉中肌电图均方根(RMS)与肌肉厚度超声数据之间的关系,并报告了预测模型。结果表明,为了评估肌肉厚度变化与活动(EMG)之间的关系,对于股直肌、胫骨前肌、腹横肌、肱二头肌和肱肌,我们可以使用二次模型(R = 0.624 - 0.891),对于腹内斜肌、腹外斜肌、腰多裂肌和颈深屈肌,可以使用线性模型(R = 0.348 - 0.767)。由于大块肌肉方程的相关系数较高,似乎大块肌肉上肌电图RMS与肌肉厚度超声数据之间的相关性高于扁平肌肉。这种关系可能更多地取决于活动类型而非肌肉类型。