The development of a myoelectric training tool for above-elbow amputees

  • Author / Creator
    Dawson, Michael R
  • Above-elbow myoprostheses aim to restore the functionality of amputated limbs and improve the quality of life of amputees. By using electromyography electrodes attached to the surface of the skin, amputees are able to control motors in myoprostheses by voluntarily contracting the muscles of their residual limb. An advance in myoelectric control called targeted muscle reinnervation (TMR) reinnervates severed nerves into healthy muscle tissue and increases the number of muscle sites available for use in control purposes. In order to improve rehabilitation after TMR surgery, an inexpensive myoelectric training tool has been developed in collaboration with the Glenrose Rehabilitation Hospital that can be used by TMR patients for biofeedback applications. The training tool consists of a robotic arm, signal acquisition hardware, controller software, and a graphical user interface. This dissertation describes the design and evaluation of the training tool and its use as a research platform for testing novel controllers.

  • Subjects / Keywords
  • Graduation date
  • Type of Item
  • Degree
    Master of Science
  • DOI
  • License
    This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for non-commercial purposes. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
  • Language
  • Institution
    University of Alberta
  • Degree level
  • Department
    • Department of Mechanical Engineering
  • Supervisor / co-supervisor and their department(s)
    • Fahimi, Farbod (Mechanical and Aerospace Engineering, University of Alabama in Huntsville)
    • Carey, Jason P. (Mechanical Engineering, University of Alberta)
  • Examining committee members and their departments
    • Behzadipour, Saeed (Mechanical Engineering, University of Alberta)
    • Sutton, Richard S. (Computing Science, University of Alberta)