Extraction of sEMG Signal in Upper Limb Rehabilitation Robot

Authors

Jiahan Li, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Gongfa Li, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China\\ Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Disi Chen, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China.Follow
Weiliang Ding, Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Jianyi Kong, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China\\ Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow
Guozhang Jiang, Key Laboratory of Metallurgical Equipment and Control Technology, Ministry of Education, Wuhan University of Science and Technology, Wuhan 430081, China\\ Hubei Key Laboratory of Mechanical Transmission and Manufacturing Engineering, Wuhan University of Science and Technology, Wuhan 430081, ChinaFollow

Author Country (or Countries)

China

Abstract

The limb motor dysfunction caused by cerebral injury brings a heavy burden to the patients family and society. The scientific rehabilitation training helps a lot in the recovery of limb motor function. The treatment of nerve rehabilitation is a hard work. At present, it mainly relies on the hand operation of rehabilitation physician to take rehabilitation exercises. It limits the improvement of rehabilitation. The combination of rehabilitation medicine and robot technology improves the efficiency of rehabilitation training and ensures the strength of action training, which has created a new way for the research on new rehabilitation technology. With the interdisciplinary development and integration, the rehabilitation medicine and the rehabilitation robot has been further studied and explored. The sEMG signal is one of the most important data in the limb rehabilitation, especially in upper limb rehabilitation robot. In the development of rehabilitation robot, the extraction of sEMG signal in upper limb rehabilitation is investigated deeply. The paper focuses on the status of the extraction of sEMG signal. In the end, the development trend for the future is discussed.

Digital Object Identifier (DOI)

http://dx.doi.org/10.18576/amis/110312

Recommended Citation

Li, Jiahan; Li, Gongfa; Chen, Disi; Ding, Weiliang; Kong, Jianyi; and Jiang, Guozhang (2017) "Extraction of sEMG Signal in Upper Limb Rehabilitation Robot," Applied Mathematics & Information Sciences: Vol. 11: Iss. 3, Article 12.
DOI: http://dx.doi.org/10.18576/amis/110312
Available at: https://digitalcommons.aaru.edu.jo/amis/vol11/iss3/12