• DocumentCode
    3453341
  • Title

    Gait trajectory planning and simulation for the powered gait orthosis

  • Author

    Wang, Qiyuan ; Qian, Jinwu ; Zhang, Yanan ; Shen, Linyong ; Zhang, Zhen ; Feng, Zhiguo

  • Author_Institution
    Sch. of Mechatron. Eng. & Autom., Shanghai Univ., Shanghai
  • fYear
    2007
  • fDate
    15-18 Dec. 2007
  • Firstpage
    1693
  • Lastpage
    1697
  • Abstract
    Body weight supported treadmill training (BWSTT) has been conformed to be an effective gait rehabilitation therapy for patients with locomotor disfunction of the lower limbs. A powered gait orthosis (PGO) is being developed, which can guide the patient´s legs to move in a preprogrammed physiological gait pattern during BWSTT. This paper proposes a physiological gait trajectory planning method for the PGO. This method is on the basis of clinical gait analysis data and human walking gait cycle. The kinematic model of lower limbs with PGO during BWSTT is constructed and the joint trajectory equations in a gait cycle are derived. The effectiveness of the proposed gait trajectory planning method is confirmed by the simulation examples of three joint trajectories and the stick figure of single leg motion over a gait cycle.
  • Keywords
    medical robotics; orthotics; patient rehabilitation; position control; robot kinematics; body weight supported treadmill training; clinical gait analysis; gait rehabilitation therapy; gait trajectory planning; human walking gait cycle; kinematic model; locomotor disfunction; powered gait orthosis; preprogrammed physiological gait pattern; Biomimetics; Hospitals; Leg; Legged locomotion; Mechatronics; Motion planning; Rehabilitation robotics; Robotics and automation; Robots; Trajectory; gait cycle; powered gait orthosis; robotic rehabilitation; trajectory planning; treadmill training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Biomimetics, 2007. ROBIO 2007. IEEE International Conference on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4244-1761-2
  • Electronic_ISBN
    978-1-4244-1758-2
  • Type

    conf

  • DOI
    10.1109/ROBIO.2007.4522420
  • Filename
    4522420