• 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