• DocumentCode
    636840
  • Title

    Coordinated upper limb training assisted with an electromyography (EMG)-driven hand robot after stroke

  • Author

    Hu, X.L. ; Tong, K.Y. ; Wei, X.J. ; Rong, Weibin ; Susanto, Evan A. ; Ho, S.K.

  • Author_Institution
    Interdiscipl. Div. of Biomed. Eng., Hong Kong Polytech. Univ.Hong Kong, Hong Kong, China
  • fYear
    2013
  • fDate
    3-7 July 2013
  • Firstpage
    5903
  • Lastpage
    5906
  • Abstract
    An electromyography (EMG)-driven hand robot had been developed for post-stroke rehabilitation training. The effectiveness of the hand robot assisted whole upper limb training on muscular coordination was investigated on persons with chronic stroke (n=10) in this work. All subjects attended a 20-session training (3-5 times/week) by using the hand robot to practice object grasp/release and arm transportation tasks. Improvements were found in the muscle co-ordination between the antagonist muscle pair (flexor digitorum and extensor digitorum) as measured by muscle co-contractions in EMG signals; and also in the reduction of excessive muscle activities in the biceps brachii. Reduced spasticity in the fingers was also observed as measured by the Modified Ashworth Score.
  • Keywords
    biomechanics; electromyography; medical disorders; medical robotics; orthotics; patient rehabilitation; EMG signal; Modified Ashworth Score; antagonist muscle; arm transportation task; biceps brachii; chronic stroke; coordinated upper limb training; electromyography-driven hand robot; excessive muscle activity reduction; extensor digitorum; finger spasticity; flexor digitorum; muscle cocontraction; muscle coordination; muscular coordination; object grasping task; object release task; post-stroke rehabilitation training; whole upper limb training; Electromyography; Joints; Muscles; Robots; Thumb; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2013 35th Annual International Conference of the IEEE
  • Conference_Location
    Osaka
  • ISSN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/EMBC.2013.6610895
  • Filename
    6610895