• DocumentCode
    1239795
  • Title

    Assistive Control System Using Continuous Myoelectric Signal in Robot-Aided Arm Training for Patients After Stroke

  • Author

    Song, Rong ; Tong, Kai-Yu ; Hu, Xiaoling ; Li, Le

  • Author_Institution
    Dept. of Health Technol. & Inf., Hong Kong Polytech. Univ., Kowloon
  • Volume
    16
  • Issue
    4
  • fYear
    2008
  • Firstpage
    371
  • Lastpage
    379
  • Abstract
    In some stroke rehabilitation programs, robotic systems have been used to aid the patient to train. In this study, a myoelectrically controlled robotic system with 1 degree-of-freedom was developed to assist elbow training in a horizontal plane with intention involvement for people after stroke. The system could provide continuous assistance in extension torque, which was proportional to the amplitude of the subject´s electromyographic (EMG) signal from the triceps, and could provide resistive torques during movement. This study investigated the system´s effect on restoring the upper limb functions of eight subjects after chronic stroke in a twenty-session rehabilitation training program. In each session, there were 18 trials comprising different combinations of assistive and resistive torques and an evaluation trial. Each trial consisted of five cycles of repetitive elbow flexion and extension between 90deg and 0deg at a constant velocity of 10deg /s. With the assistive extension torque, subjects could reach a more extended position in the first session. After 20 sessions of training, there were statistically significant improvements in the modified Ashworth scale, Fugl-Meyer scale for shoulder and elbow, motor status scale, elbow extension range, muscle strength, and root mean square error between actual elbow angle and target angle. The results showed that the twenty-session training program improved upper limb functions.
  • Keywords
    biomechanics; diseases; electromyography; medical computing; medical robotics; patient rehabilitation; Fugl-Meyer scale; assistive control system; continuous myoelectric signal; elbow extension range; elbow flexion; electromyographic signal; extension torque; modified Ashworth scale; motor status scale; muscle strength; resistive torques; robot-aided arm training; stroke rehabilitation; triceps; Arm tracking; arm tracking; myoelectric control; robot-assisted rehabilitation; stroke; Adult; Electromyography; Feedback; Female; Humans; Male; Middle Aged; Movement Disorders; Physical Therapy Modalities; Robotics; Stroke; Therapy, Computer-Assisted; Treatment Outcome;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2008.926707
  • Filename
    4537156