Author:
Samuel Oluwarotimi Williams,Geng Yanjuan,Li Xiangxin,Li Guanglin
Funder
The National Natural Science Foundation of China
The National High-Tech. Research and Development Program of China
The Natural Science Foundation of Guangdong Province
The Shenzhen Governmental Basic Research Grant
The Shenzhen High-level Oversea Talent Program (Shenzhen Peacock Plan) Grant
The Outstanding Youth Innovation Research Fund of Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Information Systems,Medicine (miscellaneous)
Reference46 articles.
1. Al-Angari, H.M., Kanitz, G., Tarantino, S., and Cipriani, C., Distance and mutual information methods for EMG feature and channel subset selection for classification of hand movements. Biomed Signal Process Control. 27:24–31, 2016.
2. Samuel, O.W., Zhou, H., Li, X., Wang, H., Zhang, H., Sangaiah, A.K., and Li, G., Pattern recognition of electromyography signals based on novel time domain features for amputees’ limb motion classification. Comput Electr Eng. 2017:1–10, 2017.
3. Scheme, E., and Englehart, K., Electromyogram pattern recognition for control of powered upper-limb prostheses: State of the art and challenges for clinical use. J Rehabil Res Dev. 48(6):643–660, 2011.
4. Li, X., Samuel, O.W., Zhang, X., Wang, H., Fang, P., and Li, G., A motion-classification strategy based on sEMG-EEG signal combination for upper-limb amputees. J Neuro Eng Rehab. 14(2):1–13, 2017.
5. Kuiken, T.A., Li, G., Lock, B.A., Lipschutz, R.D., Miller, L.A., Stubblefield, K.A., and Englehart, K., Targeted muscle reinnervation for real-time myoelectric control of multifunctional artificial arms. JAMA. 301:619–628, 2009.
Cited by
43 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献