Nieminen H, Takala E P, Viikari-Juntura E
Institute of Occupational Health, Department of Physiology, Helsinki, Finland.
Eur J Appl Physiol Occup Physiol. 1993;67(3):199-207. doi: 10.1007/BF00864215.
Linear and curvilinear electromyogram (EMG) normalization methods were compared among ten healthy men during a simulated work cycle demanding attention and static holding of the arm ('Solitaire test'). Maximal voluntary contractions (MVC) and gradually increasing contractions up to 70% of MVC were used for normalization in different arm postures. The test contractions studied included inward and outward rotations, abduction, shoulder elevation, and flexion in different arm positions. The shoulder load moment was calculated for the flexion tests using a simple two-dimensional model. The effect of arm posture on the EMG versus shoulder load moment relationship was studied on the following muscles: supraspinatus, infraspinatus, trapezius (three parts), deltoid (two parts) and pectoralis major. All muscles participated in the MVC tests performed, and its was not possible to suggest a single recommended test for each muscle. Differences in normalized EMG median values ranging up to 30% of MVC were found between linear and curvilinear normalization methods. Short-term repeatability of normalization based on a contraction with gradually increasing force was good. Arm posture affected the relationships between shoulder load moment and EMG activity of all muscles studied. Arm posture did not, however, have a significant effect on the estimated amplitude probability distribution functions during the simulated work task. Therefore, at least for the tasks studied, the principle of normalizing in the middle position of the range of movement was deemed acceptable.
在一项要求注意力集中且手臂静态保持的模拟工作周期(“纸牌游戏测试”)中,对10名健康男性的线性和曲线肌电图(EMG)归一化方法进行了比较。在不同的手臂姿势下,使用最大自主收缩(MVC)以及逐渐增加至MVC的70%的收缩来进行归一化。所研究的测试收缩包括不同手臂位置的内旋和外旋、外展、肩部抬高和屈曲。使用简单的二维模型计算屈曲测试中的肩部负荷力矩。研究了手臂姿势对以下肌肉的肌电图与肩部负荷力矩关系的影响:冈上肌、冈下肌、斜方肌(三个部分)、三角肌(两个部分)和胸大肌。所有肌肉都参与了所进行的MVC测试,并且无法为每块肌肉推荐单一的推荐测试。线性和曲线归一化方法之间发现归一化EMG中位数的差异高达MVC的30%。基于逐渐增加力量的收缩进行归一化的短期重复性良好。手臂姿势影响了所研究的所有肌肉的肩部负荷力矩与肌电活动之间的关系。然而,在模拟工作任务期间,手臂姿势对估计的幅度概率分布函数没有显著影响。因此,至少对于所研究的任务,在运动范围的中间位置进行归一化的原则被认为是可以接受的。