An Improved Method for sEMG Segmentation

摘要：

An improved method of continuous action’s sEMG automatic segmentation is presented in this paper. The maximum value and the integral value of local area are regarded as the distinguishing standard for start or stop action area, and search area adjusted dynamicly can speed up the sEMG segmentation. The experiment results show that, the methods which are proposed in the paper can achieve sEMG’s automatic segmentation, which consider less natural factors of action individual. The segmentation accuracy is higher, the effect is better, the time that is spent in the segmentation is shorter than the former method, and it provides more convenient for subsequent signal processing.

关键词： sEMG Automatic Segmentation Continuous Action

作者: Li Lin Wang Jianhui Dong Liang

作者单位: College of Information Science and Engineering, Northeastern University, Shenyang 110004 The Key Lab College of Information Science and Engineering, Northeastern University, Shenyang 110004

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 1320-1323

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）