• DocumentCode
    2470064
  • Title

    Trajectory planning of a robot for lower limb rehabilitation

  • Author

    Pei, Y. ; Kim, Y. ; Obinata, G. ; Hase, K. ; Stefanov, D.

  • Author_Institution
    Grad. Sch. of Eng., Nagoya Univ. Furo-cho, Nagoya, Japan
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    1259
  • Lastpage
    1263
  • Abstract
    We introduce a method for lower-limb physical rehabilitation by means of a robot that applies preliminary defined forces to a patient´s foot while moving it on a preliminary defined trajectory. We developed a special musculoskeletal model that takes into consideration the generated muscle forces of 27 musculotendon actuators and joint stiffness of the leg and allows the calculation of the motion trajectory of the robot and the forces that the robot needs to apply to the foot in each moment of the therapeutic exercise. Robotic treatment programs are customized for the individual patient by using a genetic algorithm (GA) that refers to the musculoskeletal model and calculates the parameters of the spline curves of the motion trajectory of the robot and forces acting on the foot.
  • Keywords
    biomechanics; genetic algorithms; manipulators; medical computing; medical robotics; patient rehabilitation; physiological models; splines (mathematics); generated muscle forces; genetic algorithm; leg joint stiffness; lower limb physical rehabilitation; lower limb rehabilitation; motion trajectory calculation; motion trajectory spline curves; musculoskeletal model; musculotendon actuators; patient foot; robot trajectory planning; robotic treatment programs; Foot; Force; Joints; Knee; Muscles; Robots; Trajectory; Computer Simulation; Humans; Leg; Man-Machine Systems; Models, Biological; Motion Therapy, Continuous Passive; Movement; Movement Disorders; Muscle Contraction; Muscle, Skeletal; Robotics; Therapy, Computer-Assisted;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6090296
  • Filename
    6090296