• DocumentCode
    3193838
  • Title

    Robot-aided motion planning for knee joint rehabilitation with two robot-manipulators

  • Author

    Pei, Yanli ; Kim, Youngjae ; Obinata, G. ; Genda, Eiichi ; Stefanov, Dimitar

  • Author_Institution
    EcoTopia Sci. Inst., Nagoya Univ., Nagoya, Japan
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    2495
  • Lastpage
    2498
  • Abstract
    In this paper, we propose a simultaneous design method of motion and external force trajectories for knee joint rehabilitation based on the biomechanical analysis of the lower limb. In this method we assume to use two robots manipulators which provide forces and moments at shank and thigh. We developed a 7 degree of freedom musculoskeletal model of lower limb with 19 muscles. The valuation function of rehabilitation efficiency e has been maximized by Genetic Algorithm (GA) that refers to the musculoskeletal model and tunes motion trajectory of the robots and forces acting on the shank and thigh.
  • Keywords
    biomechanics; bone; genetic algorithms; manipulators; medical robotics; muscle; path planning; patient rehabilitation; 7 degree of freedom musculoskeletal model; GA; biomechanical analysis; design method; external force trajectory; genetic algorithm; knee joint rehabilitation; lower limb; motion trajectory; robot-aided motion planning; robot-manipulators; shank; thigh; Force; Hip; Joints; Knee; Muscles; Robots; Trajectory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610046
  • Filename
    6610046