• DocumentCode
    380841
  • Title

    Increasing elbow torque output of stroke patients by EMG-controlled external torque

  • Author

    Lin, C.C.K. ; Ju, M.S. ; Cheng, H.S.

  • Author_Institution
    Neuroloy, Nat. Cheng Kung Univ., Tainan, Taiwan
  • Volume
    2
  • fYear
    2001
  • fDate
    2001
  • Firstpage
    1437
  • Abstract
    A control algorithm for using homogenic EMG to control external assisting torque is developed for improving the elbow capability of stroke patients. The control signal to the manipulator is the difference between the weighted biceps and triceps EMG, so that the system moves with the forearm and provides assisting torque proportional to the voluntary effort. A nonlinear damping structure, mimicking physiological damping and incorporating the effects of cocontraction, was also included in the command for improving joint stability. The control algorithm has the advantage that the control is natural to the patient so that the learning process is simple. We tested the control algorithm in 5 normal subjects and 2 stroke patients. The results showed that the system could assist the subjects in completing work (tracking under loads) with less effort and without sacrificing performance.
  • Keywords
    biomechanics; electromyography; manipulator kinematics; medical robotics; orthotics; patient rehabilitation; torque; EMG-controlled external torque; cocontraction; control algorithm; control signal; elbow capability; external assisting torque; forearm; homogenic EMG; increased elbow torque output; joint stability; learning process; manipulator; nonlinear damping structure; normal subjects; patient; physiological damping; stroke patients; voluntary effort; weighted biceps EMG; weighted triceps EMG; Adaptive filters; Control systems; Damping; Elbow; Electromyography; Low pass filters; Muscles; Proportional control; Signal processing; Torque control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2001. Proceedings of the 23rd Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Print_ISBN
    0-7803-7211-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2001.1020473
  • Filename
    1020473