Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression

	Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression
	Li, Q. L.1; Song, Y.2; Hou, Z. G.3
发表期刊	NEURAL PROCESSING LETTERS
	2015-06-01
卷号	41 期号:3 页码:371-388
文章类型	Article
摘要	In this paper, a new technique for predicting human lower limb periodic motions from multi-channel surface ElectroMyoGram (sEMG) was proposed on the basis of least-squares support vector regression (LS-SVR). The sEMG signals were sampled from seven human lower limb muscles. Two channels sEMG were selected and mapped to muscle activation levels for angles estimation based on cross-correlation analysis. To deal with the time delay introduced by low-pass filtering of raw sEMG, a -order dynamic model was derived to represent the dynamic relationship between the joint angles and muscle activation levels. The dynamic model was built by data driven LS-SVR with radial basis function kernel. The inputs of the LS-SVR are muscle activation levels, and the outputs are joint angles of the hip and knee. In experiments, 48 sEMG-angle datasets sampled from six healthy people were utilized to verify the effectiveness of the proposed method. Result shows that the human lower limb joint angles can be well estimated in different motion conditions.
关键词	Semg Ls-svr Motion Estimation Neural Network Support Vector Machine Rehabilitation
WOS标题词	Science & Technology ; Technology
关键词[WOS]	NEURAL-NETWORK ; JOINT ; ELECTROMYOGRAPHY
收录类别	SCI
语种	英语
WOS研究方向	Computer Science
WOS类目	Computer Science, Artificial Intelligence
WOS记录号	WOS:000354203700006
引用统计	被引频次：50[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/8071
专题	复杂系统认知与决策实验室_先进机器人
作者单位	1.China Univ Min & Technol, Sch Mech Elect & Informat Engn, Beijing, Peoples R China 2.Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China 3.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing, Peoples R China
推荐引用方式 GB/T 7714	Li, Q. L.,Song, Y.,Hou, Z. G.. Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression[J]. NEURAL PROCESSING LETTERS,2015,41(3):371-388.
APA	Li, Q. L.,Song, Y.,&Hou, Z. G..(2015).Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression.NEURAL PROCESSING LETTERS,41(3),371-388.
MLA	Li, Q. L.,et al."Estimation of Lower Limb Periodic Motions from sEMG Using Least Squares Support Vector Regression".NEURAL PROCESSING LETTERS 41.3(2015):371-388.