Author:
Castro Maria Claudia F,Arjunan Sridhar P,Kumar Dinesh K
Publisher
Springer Science and Business Media LLC
Subject
Radiology, Nuclear Medicine and imaging,Biomedical Engineering,General Medicine,Biomaterials,Radiological and Ultrasound Technology
Reference27 articles.
1. Li, G. Electromyography Pattern-Recognition-Based Control of Powered Multifunctional Upper-Limb Prostheses, In: Mizrah, J. (Ed.). Advances in Applied Electromyography, InTech (2011). http://www.intechopen.com/books/advancesin-applied-electromyography/electromyography-pattern-recognition-based-control-of-powered-multifunctional-upper-limb-prostheses
2. Scheme E, 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 2011,48(6):643–60. 10.1682/JRRD.2010.09.0177
3. Muceli S, Farina D: Simultaneous and proportional estimation of hand kinematics from emg during mirrored movements at multiple degrees-of-freedom. IEEE Transaction on Neural Systems and Rehabilitation Engineering 2012,20(3):371–8. 10.1109/TNSRE.2011.2178039
4. Zhao Z, Chen X, Zhang X, Yang J, Tu Y: Study on Online Gesture sEMG Recognition,” in Advanced Intelligent Computing Theories and Applications. Proceedings of the Third International Conference on Intelligent Computing 2007, 1257–65.
5. Khezri M, Jahed M: Real-time intelligent pattern recognition algorithm for surface EMG signals. Biomed Eng Online 2007,6(45):1–12. [Online]. Available: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=2222669&tool=pmcentrez&rendertype=abstract
Cited by
25 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