• DocumentCode
    129979
  • Title

    Control strategies for lower limb rehabilitation robot

  • Author

    Jiangcheng Chen ; Xiaodong Zhang ; He Wang ; Qiangyong Shi ; Rui Li

  • Author_Institution
    Key Lab. for Modern Design & Rotor-Bearing Syst., Xi´an Jiaotong Univ., Xi´an, China
  • fYear
    2014
  • fDate
    28-30 July 2014
  • Firstpage
    121
  • Lastpage
    125
  • Abstract
    Robotic devices for functional therapy for paralysis caused by neurologic injury is becoming popular now days. Effective control strategy is a key technical problem in developing a rehabilitation robot. In this paper, different control strategies for different training stages are proposed. Firstly, the rehabilitation process is divided into two stages which corresponding to two kinds of training modes: robot-in-charge and patient-in-charge (passive and active). Then, the position control method is proposed for passive mode as well as the bioelectrical signal (EMG) based control strategy for active training mode. Meanwhile, simulation of the control is conducted and the results proved the correctness of our control method.
  • Keywords
    control engineering computing; electromyography; medical robotics; medical signal processing; neurophysiology; patient rehabilitation; position control; EMG based control strategy; active training mode; bioelectrical signal based control; effective control strategy; functional therapy; lower limb rehabilitation robot; neurologic injury; paralysis; passive mode; patient-in-charge; position control method; rehabilitation process; robot-in-charge; robotic devices; Electromyography; Joints; Legged locomotion; Muscles; Torque; Training; Rehabilitation robot; control strategy; lower limb; neurologic injury;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information and Automation (ICIA), 2014 IEEE International Conference on
  • Conference_Location
    Hailar
  • Type

    conf

  • DOI
    10.1109/ICInfA.2014.6932638
  • Filename
    6932638