Gammans P, Qin S F, Wright D K
Department of Design, Brunel University, Egham, Surrey, TW20 0JZ, UK.
Biomed Sci Instrum. 2003;39:187-92.
In this paper we investigate the effect on the spectra of an EMG signal due to changes in the parameters, which control motor unit (MU) firing sequences. To enable this analysis we start by developing a computer-based model of the motor unit activation potential (MUAP) to enable the generation of artificial surface electromyography (EMG) signals. By adjusting the parameters used in the generation of the synthetic EMG we can investigate the effect of a single parametric change on the resultant spectrum. The parameters and range of values we investigated were determined after a literature review. The synthetic EMGs are compared to actual EMG signals collected from the biceps muscle of males subjects aged between 18 to 32, years all without any known neuromuscular disease, disabilities or injuries to the elbow joint.
在本文中,我们研究了控制运动单位(MU)放电序列的参数变化对肌电图(EMG)信号频谱的影响。为了进行这种分析,我们首先开发了一个基于计算机的运动单位动作电位(MUAP)模型,以生成人工表面肌电图(EMG)信号。通过调整生成合成EMG时使用的参数,我们可以研究单个参数变化对所得频谱的影响。我们研究的参数和取值范围是在文献综述后确定的。将合成EMG与从年龄在18至32岁之间的男性受试者肱二头肌采集的实际EMG信号进行比较,所有受试者均无任何已知的神经肌肉疾病、残疾或肘关节损伤。