Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal
Extracting Simultaneous and Proportional Neural Control Information for Multiple-DOF Prostheses From the Surface Electromyographic Signal
复制标题
DOI：
10.1109/tbme.2008.2007967
复制
发表时间：
2009-04-01
影响因子：
4.6
通讯作者：
Parker, Philip A.
中科院分区：
文献类型：
--
作者：
Jiang, Ning;Englehart, Kevin B.;Parker, Philip A.
提出了一种新颖的表面肌电图（EMG）信号处理算法来提取多个自由度的同步和比例控制信息。该算法基于表面肌电图的生成模型。该模型假设协同肌肉共享脊髓神经驱动，这对应于自然运动不同自由度的预期激活，并嵌入表面肌电图。开发了自由度非负矩阵分解（NMF）来估计来自多通道表面肌电图的神经控制信息。仿真和实验研究表明，该算法能够同时提取多维控制信息。该方法的直接应用是提供多功能肌电假肢的同步和比例控制。
A novel signal processing algorithm for the surface electromyogram (EMG) is proposed to extract simultaneous and proportional control information for multiple DOFs. The algorithm is based on a generative model for the surface EMG. The model assumes that synergistic muscles share spinal neural drives, which correspond to the intended activations of different DOFs of natural movements and are embedded within the surface EMG. A DOF-wise nonnegative matrix factorization (NMF) is developed to estimate neural control information from the multichannel surface EMG. It is shown, both by simulation and experimental studies, that the proposed algorithm is able to extract the multidimensional control information simultaneously. A direct application of the proposed method would be providing simultaneous and proportional control of multifunction myoelectric prostheses.