[1]
M. Zecca, S. Micera, M. C. Carrozza, et al. Control of Multifunctional Prosthetic Hands by Processing the Electromyographic Signal. Critical Reviews in Biomedical Engineering. 2002, 30(4-6): 459-485.
DOI: 10.1615/critrevbiomedeng.v30.i456.80
Google Scholar
[2]
In, H. K. and Cho, K. J., Compact Hand Exoskeleton Robot for the Disabled, Proc. of the International Conference on Ubiquitous Robots and Ambient Intelligence, (2009).
Google Scholar
[3]
Mulas, M., Folgheraiter, M. and Gini, G., An EMG controlled exoskeleton for hand rehabilitation, Proc. of the9th International Conference on Rehabilitation Robotics, pp.371-374, (2005).
DOI: 10.1109/icorr.2005.1501122
Google Scholar
[4]
Tong, K. Y., Ho, S. K., Pang, P. M. K., Hu, X. L., Tam, W. K., Fung, K. L., Wei, X. J., Chen, P. N. and Chen, M., An intention driven hand functions task training robotic system, Proc. of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp.3406-3409, (2010).
DOI: 10.1109/iembs.2010.5627930
Google Scholar
[5]
Wege, A. and Zimmermann, A., Electromyography sensor based control for a hand exoskeleton, Proc. of the IEEE International Conference on Robotics and Biomimetics, pp.1470-1475, (2007).
DOI: 10.1109/robio.2007.4522381
Google Scholar
[6]
Hasegawa, Y., Tokita, J., Kamibayashi, K. and Sankai, Y., Evaluation of fingertip force accuracy in different supportconditions of exoskeleton, Proc. of the IEEE International Conference on Robotics and Automation, pp.680-685, (2011).
DOI: 10.1109/icra.2011.5980512
Google Scholar
[7]
Yang Qinghua, Zhang Libing, Ruan Jian. Investigation into the Motion Law of Human Finger Joint during Grasping[J]. China Mechanical Engineering, 2004, 15(13): 1154-1157.
Google Scholar
[8]
Carlo J, De Luca. The Use of Surface Electromyography in Biomechanics [J]. Appl. Biomech, 1993: 135-163.
Google Scholar
[9]
Herberts P, Almstrom C. Clinical application study of multi-functional prosthetic hands [J]. Bone Joint Surgery, 1978, 60(4): 522-560.
DOI: 10.1302/0301-620x.60b4.711808
Google Scholar
[10]
Wan Sha. Preliminary research of sEMG signal real-time detection and prosthetic hand control [D]. ChongqingUniversity, (2012).
Google Scholar
[11]
Li Qingling. Study on sEMG based exoskeletal robot for upper limbs rehabilitation [D]. HarbinInstituteofTechnology, (2009).
Google Scholar
[12]
P.A. Kaplanis C.S. Pattichis. Surface EMG analysis on normal subjects based on isometric voluntary contraction [J]. Journal of Electromyography and Kinesiology, 2009, 19: 157–171.
DOI: 10.1016/j.jelekin.2007.03.010
Google Scholar
[13]
Song Lingling. Study on sEMG analysis system for prosthesis control [D]. Shanghai University, (2008).
Google Scholar
[14]
Zhu Hao, Xin Changyu, Ji Xiaojun, Shi Wenkang. Surface EMG preamplifier and data acquisition system [J]. Measurement and Control Technology, 2005, 27(3): 37-39.
Google Scholar