• DocumentCode
    2260161
  • Title

    Estimation of lower limb muscle forces during human sit-to-stand process with a rehabilitation training system

  • Author

    Cao, Enguo ; Inoue, Yoshio ; Liu, Tao ; Shibata, Kyoko

  • Author_Institution
    Dept. of Intell. Mech. Syst. Eng., Kochi Univ. of Technol., Kami, Japan
  • fYear
    2012
  • fDate
    5-7 Jan. 2012
  • Firstpage
    1016
  • Lastpage
    1019
  • Abstract
    As it is inconvenient to directly measure tension forces of muscles attaching on limbs, a new quantitative method for estimating muscle forces of lower limb was presented based on a developed rehabilitation training system and AnyBody Modeling System. In the AnyBody Modeling System, which professionally concerns on musculoskeletal kinematic modeling and analysis, quantitative results of muscle forces can be calculated through an inverse dynamics method. In this study, a musculoskeletal model composed of thigh, shank and foot was established in the AnyBody Modeling System, and an experiment was performed to acquire dynamics parameters of body segments with the rehabilitation training system during the sit-to-stand process. Then tension forces of muscles of lower limb were calculated through the inverse dynamics analysis, and the calculated results matched the muscle activation level tendency of electromyography (EMG) method, which was also adopted in the experiment for validation. The method for estimating muscle forces appears to be a practical means to determine muscle forces in musculoskeletal analysis of human limb.
  • Keywords
    biomechanics; biomedical measurement; bone; electromyography; force measurement; inverse problems; patient rehabilitation; AnyBody modeling system; EMG; electromyography; foot; human limb; inverse dynamics method; lower limb muscle force; muscle activation level tendency; musculoskeletal kinematic modeling; rehabilitation training system; shank; sit-to-stand process; tension force; thigh; Analytical models; Musculoskeletal system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Biomedical and Health Informatics (BHI), 2012 IEEE-EMBS International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-1-4577-2176-2
  • Electronic_ISBN
    978-1-4577-2175-5
  • Type

    conf

  • DOI
    10.1109/BHI.2012.6211762
  • Filename
    6211762