• DocumentCode
    3684207
  • Title

    Multivariate outcomes in a three week bimanual self-telerehabilitation with error augmentation post-stroke

  • Author

    Yazan Abdel Majeed;Farnaz Abdollahi;Saria Awadalla;James Patton

  • Author_Institution
    University of Illinois at Chicago Bioengineering and the Rehabilitation Institute of Chicago, United States
  • fYear
    2015
  • Firstpage
    1425
  • Lastpage
    1431
  • Abstract
    We present the outcomes of a study on stroke patients in a 3-week intervention of bimanual self-telerehabilitation. This training is similar to an upper-extremity treadmill in that patients can make use of their healthy arm to provide a cue for the more impaired arm. We further inspected a cohort that covertly received error augmentation training while they practiced. Finally, we focused here on the many quantitative measures available from the robotic device, testing if these measures collectively can predict outcome on the final day. We found in a cross-validation study that predictions are possible, yielding median r-squared values over 99%. Several particular measures were found to dominate their contribution to the prediction of recoverability. These results show that interactive self-rehabilitation may be a viable method for motor restoration, and the quantitative metrics available can be used to predict the eventual state of recovery.
  • Keywords
    "Training","Wrist","Measurement","Robot sensing systems","Standards"
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE
  • ISSN
    1094-687X
  • Electronic_ISBN
    1558-4615
  • Type

    conf

  • DOI
    10.1109/EMBC.2015.7318637
  • Filename
    7318637