• DocumentCode
    3027419
  • Title

    Control strategies for ankle rehabilitation using a high performance ankle exerciser

  • Author

    Saglia, J.A. ; Tsagarakis, N.G. ; Dai, J.S. ; Caldwell, D.G.

  • fYear
    2010
  • fDate
    3-7 May 2010
  • Firstpage
    2221
  • Lastpage
    2227
  • Abstract
    This paper presents the control architecture and preliminary experimental results of a high performance parallel robot used for ankle rehabilitation. The goal of this work was to design suitable control algorithms for diagnostic, training and rehabilitation of the ankle in presence of musculoskeletal injuries. A position control scheme is used for patient-passive exercises while an admittance control technique is used to perform patient-active exercises with and without motion assistance. The design of the control algorithms is based on the analysis of the rehabilitation protocol taking into account the dynamics of the system and the dynamics of the interaction between the human and the robot. Electromyographic (EMG) signals are used to evaluate patient´s effort during training/exercising. The results indicate the great potential of the rehabilitation device as a tool to fasten and improve the ankle therapies outcome.
  • Keywords
    electromyography; medical robotics; patient rehabilitation; position control; robots; EMG signals; admittance control technique; ankle exerciser; ankle rehabilitation control strategies; control algorithms; control architecture; electromyographic signals; musculoskeletal injuries; parallel robot; patient-active exercises; patient-passive exercises; position control scheme; rehabilitation protocol; Admittance; Algorithm design and analysis; Control systems; Humans; Injuries; Motion control; Musculoskeletal system; Parallel robots; Position control; Protocols;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Robotics and Automation (ICRA), 2010 IEEE International Conference on
  • Conference_Location
    Anchorage, AK
  • ISSN
    1050-4729
  • Print_ISBN
    978-1-4244-5038-1
  • Electronic_ISBN
    1050-4729
  • Type

    conf

  • DOI
    10.1109/ROBOT.2010.5509883
  • Filename
    5509883