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Measuring the Dynamic Impedance of the Human Arm

  • Applications to Telerehabilitation and Robot-Assisted Motor Function Assessment

  • Author / Creator
    Dyck, Matthew D.
  • This thesis presents techniques to measure the human arm's mechanical impedance using a rehabilitation robot, drawing applications to telerehabilitation and patient motor function assessment. Conventional teleoperation system stability analysis and control assumes the human operator remains passive and injects no net energy into the system. The validity of this assumption is evaluated by mathematically analyzing the passivity of empirical arm impedance models. The results show that the arm is passive when relaxed but may become active when participants rigidly hold their arm in place. This non-passive behaviour originates from the central nervous system's position control response. A novel, cost-effective impedance measurement technique is also presented, in which an expensive commercial force sensor is replaced by a virtual sensor incorporating a model of the robot's dynamics and kinematics. The technique is validated on a mass-spring system of known impedance and applied to the human arm.

  • Subjects / Keywords
  • Graduation date
    2013-11
  • Type of Item
    Thesis
  • Degree
    Master of Science
  • DOI
    https://doi.org/10.7939/R3RQ4F
  • 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
    English
  • Institution
    University of Alberta
  • Degree level
    Master's
  • Department
    • Department of Electrical and Computer Engineering
  • Specialization
    • Control Systems
  • Supervisor / co-supervisor and their department(s)
    • N/A
  • Examining committee members and their departments
    • Lynch, Alan (Electrical and Computer Engineering)
    • Tavakoli, Mahdi (Electrical and Computer Engineering)
    • Carey, Jason (Mechanical Engineering)