• DocumentCode
    3131400
  • Title

    Coactivations of Elbow and Shoulder Muscles in Hemiplegic Persons with Chronic Stroke during Robot-Assisted Training

  • Author

    Hu, X.L. ; Song, R. ; Tong, K.Y. ; Tsang, S.F. ; Leung, O.Y. ; Li, L.

  • Author_Institution
    Dept. of Health Technol. & Informatics, Hong Kong Polytech. Univ.
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    4933
  • Lastpage
    4935
  • Abstract
    The motor recovery procedure of chronic stroke during robot-assisted training has not been well studied previously. In this work, we analyzed the variations in the coactivating patterns of elbow and shoulder muscles (biceps, triceps lateral, anterior deltoid, and posterior deltoid) in hemiplegic persons with chronic stroke (n=4) during a 20-session´s interactive robot-assisted treatment. Significant decreases in muscle cocontractions (P<0.05) for all muscle pairs started from the 8th session of the training. Improvements were also observed in motor scores of Fugl-Meyer and modified Ashworth scale after the treatment. The results suggested an increased dexterity and selective control on individual muscles for both elbow and shoulder joints in a designed task after the robot-assisted training
  • Keywords
    medical robotics; neuromuscular stimulation; patient rehabilitation; Ashworth scale; Fugl-Meyer scale; biceps; chronic stroke; coactivating patterns; dexterity; elbow muscle; hemiplegic persons; motor recovery procedure; motor scores; muscle cocontractions; robot-assisted training; robot-assisted treatment; shoulder muscle; triceps; Brain injuries; Cities and towns; Elbow; Electromyography; Muscles; Neuromuscular; Pattern analysis; Rehabilitation robotics; Robots; USA Councils;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, 2006. EMBS '06. 28th Annual International Conference of the IEEE
  • Conference_Location
    New York, NY
  • ISSN
    1557-170X
  • Print_ISBN
    1-4244-0032-5
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2006.259575
  • Filename
    4462908