Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization

	Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization
	Chuang Lin; Binghui Wang; Ning Jiang; Dario Farina
刊名	Journal of Neural Engineering
	2017
文献子类	期刊论文
英文摘要	Objective. This paper proposes a novel simultaneous and proportional multiple degree of freedom (DOF) myoelectric control method for active prostheses. Approach. The approach is based on nonnegative matrix factorization (NMF) of surface EMG signals with the inclusion of sparseness constraints. By applying a sparseness constraint to the control signal matrix, it is possible to extract the basis information from arbitrary movements (quasi-unsupervised approach) for multiple DOFs concurrently. Main Results. In online testing based on target hitting, able-bodied subjects reached a greater throughput (TP) when using sparse NMF (SNMF) than with classic NMF or with linear regression (LR). Accordingly, the completion time (CT) was shorter for SNMF than NMF or LR. The same observations were made in two patients with unilateral limb deficiencies. Significance. The addition of sparseness constraints to NMF allows for a quasi-unsupervised approach to myoelectric control with superior results with respect to previous methods for the simultaneous and proportional control of multi-DOF. Significance. The proposed factorization algorithm allows robust simultaneous and proportional control, is superior to previous supervised algorithms, and, because of minimal supervision, paves the way to online adaptation in myoelectric control.
URL标识	查看原文
语种	英语
WOS记录号	WOS:000424629500002
内容类型	期刊论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/11951]
专题	深圳先进技术研究院_医工所
作者单位	Journal of Neural Engineering
推荐引用方式 GB/T 7714	Chuang Lin,Binghui Wang,Ning Jiang,et al. Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization[J]. Journal of Neural Engineering,2017.
APA	Chuang Lin,Binghui Wang,Ning Jiang,&Dario Farina.(2017).Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization.Journal of Neural Engineering.
MLA	Chuang Lin,et al."Robust extraction of basis functions for simultaneous and proportional myoelectric control via sparse non-negative matrix factorization".Journal of Neural Engineering (2017).