Beck Travis W, Housh Terry J, Johnson Glen O, Cramer Joel T, Weir Joseph P, Coburn Jared W, Malek Moh H
Department of Nutrition and Health Sciences, Human Performance Laboratory, University of Nebraska-Lincoln, Lincoln, NE 68583-0806, USA.
J Electromyogr Kinesiol. 2006 Oct;16(5):531-9. doi: 10.1016/j.jelekin.2005.10.002. Epub 2005 Dec 20.
The purpose of this study was to examine the electromyographic (EMG) instantaneous amplitude (IA) and instantaneous mean power frequency (IMPF) patterns for the biceps brachii muscle across a range of motion during maximal and submaximal concentric isokinetic muscle actions of the forearm flexors. Ten adults (mean +/- SD age = 22.0 +/- 3.4 years) performed a maximal and a submaximal [20% peak torque (PT)] concentric isokinetic forearm flexion muscle action at a velocity of 30 degrees s(-1). The surface EMG signal was detected from the biceps brachii muscle with a bipolar electrode arrangement, and the EMG IA and IMPF versus time relationships were examined for each subject using first- and second-order polynomial regression models. The results indicated that there were no consistent patterns between subjects for EMG IA or IMPF with increases in torque across the range of motion. Some of the potential nonphysiological factors that could influence the amplitude and/or frequency contents of the surface EMG signal during a dynamic muscle action include movement of the muscle fibers and innervation zone beneath the skin surface, as well as changes in muscle fiber length and the thickness of the tissue layer between the muscle and the recording electrodes. These factors may affect the EMG IA and IMPF patterns differently for each subject, thereby increasing the difficulty of drawing any general conclusions regarding the motor control strategies that increase torque across a range of motion.
本研究的目的是,在前臂屈肌进行最大和次最大等速向心肌肉动作的一系列运动过程中,检查肱二头肌的肌电图(EMG)瞬时振幅(IA)和瞬时平均功率频率(IMPF)模式。十名成年人(平均±标准差年龄 = 22.0±3.4岁)以30度·秒⁻¹的速度进行了最大和次最大[20%峰值扭矩(PT)]等速向心前臂屈曲肌肉动作。使用双极电极布置从肱二头肌检测表面肌电信号,并使用一阶和二阶多项式回归模型检查每个受试者的肌电IA和IMPF与时间的关系。结果表明,在整个运动范围内,随着扭矩增加,受试者之间的肌电IA或IMPF没有一致的模式。在动态肌肉动作期间,一些可能影响表面肌电信号幅度和/或频率成分的潜在非生理因素包括皮肤表面下方肌肉纤维和神经支配区的移动,以及肌肉纤维长度和肌肉与记录电极之间组织层厚度的变化。这些因素可能对每个受试者的肌电IA和IMPF模式产生不同影响,从而增加了就增加整个运动范围内扭矩的运动控制策略得出任何一般性结论的难度。