• DocumentCode
    131021
  • Title

    An elbow biomechanical model and its coefficients adjustment

  • Author

    Jie Bai ; Yongsheng Gao ; Shengxin Wang ; Jie Zhao

  • Author_Institution
    State Key Lab. of Robot. & Syst., Harbin Inst. of Technol., Harbin, China
  • fYear
    2014
  • fDate
    27-29 June 2014
  • Firstpage
    954
  • Lastpage
    957
  • Abstract
    Through the establishment of the elbow biomechanical model, it can provide theoretical guide for rehabilitation therapy on the upper limb of the human body. A biomechanical model of the elbow joint can be built by the connection of muscle force model and elbow dynamics. But there are many undetermined coefficients in the model like the optimal joint angle and optimal muscle force which are usually specified as the experimental parameters of other workers. Because of the individual differences, there is a certain deviation of the final result. To this end, the RMS value of the deviation between the actual angle and calculated angle is considered. A set of coefficients which lead to the minimum RMS value will be chosen to be the optimal parameters. The direct search method and the conjugacy search method are used to get the optimal parameters, thus the model can be more accurate and mode adaptability.
  • Keywords
    biomechanics; force; muscle; coefficient adjustment; conjugacy search method; elbow biomechanical model; elbow dynamics; elbow joint; human body; minimum RMS value; optimal joint angle; optimal muscle force model; rehabilitation therapy; upper limb; Adaptation models; Biological system modeling; Biomechanics; Elbow; Force; Joints; Muscles; RMS; conjugacy search; direct search; elbow biomechanical model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering and Service Science (ICSESS), 2014 5th IEEE International Conference on
  • Conference_Location
    Beijing
  • ISSN
    2327-0586
  • Print_ISBN
    978-1-4799-3278-8
  • Type

    conf

  • DOI
    10.1109/ICSESS.2014.6933723
  • Filename
    6933723