Department of Electronics and Communication Engineering, BBSBEC, Fatehgarh Sahib, Punjab, India.
J Electromyogr Kinesiol. 2011 Oct;21(5):868-76. doi: 10.1016/j.jelekin.2011.07.002. Epub 2011 Aug 3.
Surface electromyography signals (SEMG) are the most common form of non-invasive-measurement of muscle activities. To acquire proper SEMG for particular limb function, the placement of electrodes on the skin over respective active group of muscles becomes very important. Measurement of SEMG depends on a number of factors/parameters like amplitude, time and frequency domain properties. In the present investigation, analysis was carried firstly; to study the grip force vs. SEMG parameters at acupressure points on arm, using single channel approach. At all the selected acupressure points a linear increment of SEMG was observed. Secondly; to discriminate four elbow movements from different locations on arm using two channel approach with single parameter. The parameter for the analysis chosen was the root of mean of square (RMS) value of SEMG. Further; principal component analysis was used to verify the elbow movement discrimination. Extension and supination were the two operations which were observed to be easy to realize by prosthetic devices. The selection of these locations was done on the basis of acupressure points and anatomy of elbow. Matlab-softscope was used for acquiring the SEMG from line-in input port of PC-sound card. This study will also be helpful for the researchers in understanding the behavior of SEMG for elbow movement in development of prosthetic or exoskeleton devices.
表面肌电信号（SEMG）是肌肉活动的最常见的非侵入式测量形式。为了获得特定肢体功能的适当 SEMG，在相应的主动肌群上放置电极对于皮肤来说非常重要。SEMG 的测量取决于许多因素/参数，如幅度、时间和频域特性。在本研究中，首先进行了分析；使用单通道方法研究手臂上的穴位处的握力与 SEMG 参数的关系。在所有选定的穴位上，观察到 SEMG 呈线性增加。其次；使用双通道方法和单个参数从手臂的不同位置区分四个肘部运动。选择的分析参数是 SEMG 的均方根（RMS）值。此外；主成分分析用于验证肘部运动的区分。伸展和旋前是两种操作，观察到假肢设备很容易实现这两种操作。这些位置的选择是基于穴位和肘部解剖结构。Matlab-softscope 用于从 PC 声卡在线路输入端口获取 SEMG。这项研究对于研究人员理解用于假肢或外骨骼设备的肘部运动的 SEMG 行为也将有所帮助。
