DocumentCode :
3573616
Title :
An elbow-biomechanical modeling based on sEMG
Author :
Yongsheng Gao ; Jie Bai ; Shengxin Wang ; Jie Zhao
Author_Institution :
State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
fYear :
2014
Firstpage :
5238
Lastpage :
5243
Abstract :
An elbow biomechanical model can provide theoretical guidance for the rehabilitation of the human arm. Researches on the mechanism of elbow movement are developed mainly through analysis of surface electromyographic (sEMG), but the signals that were captured are redundant, without the consideration of muscle groups, while output of the model are mostly muscle force or torque, which is not intuitive. In this paper, through the establishment of muscle-force model as well as the joint dynamics to calculate angle trajectory of the elbow joint, a sEMG to elbow joint angle model can be built. In order to express the active forces of the muscle groups with the specified muscles, a modified muscle groups matrix (MGM) was introduced. By experiments, the model without MGM has a large error while the deviation can decline when the MGM is introduced. In this way, the model is more precise to reflect the applied forces to elbow joint by the attached muscle groups.
Keywords :
biomechanics; electromyography; force; kinematics; elbow joint dynamics; elbow movement mechanism; elbow-biomechanical modeling; human arm rehabilitation; modified muscle groups matrix; muscle force; muscle torque; sEMG analysis; surface electromyographic; Biological system modeling; Brain modeling; Elbow; Force; Joints; Muscles; Trajectory; joint dynamics; modified muscle groups matrix; muscle activation; muscle force; sEMG;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation (WCICA), 2014 11th World Congress on
Type :
conf
DOI :
10.1109/WCICA.2014.7053607
Filename :
7053607
Link To Document :
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