• DocumentCode
    2941838
  • Title

    Skill generalization relevant to robotic neuro-rehabilitation

  • Author

    Bansal, Deivya ; Kenyon, Robert ; Patton, James L.

  • Author_Institution
    Robot. Lab., Univ. of Illinois-Chicago, Chicago, IL, USA
  • fYear
    2010
  • fDate
    Aug. 31 2010-Sept. 4 2010
  • Firstpage
    2250
  • Lastpage
    2254
  • Abstract
    Upper limb extremity rehabilitation practices are increasingly involving robotic interaction for repetitive practice, and there is increasing skepticism whether such systems can provide the relevant practice that can be generalized (or transferred) to functional activities in the real world. Most importantly, will patients be able to generalize in three critical ways: (1) to unpracticed directions, (2) to unpracticed movement distances, and (3) to unpracticed weight-eliminated conditions? Rather than presuming that patients could generalize in three conditions, this study tested whether there was any evidence of such generalization ability in healthy individuals. We found that there was some evidence in all conditions except for the ability of healthy subjects to generalize to large movements after practicing small. Such results suggest that larger robotic systems are advantageous for training the functional motions that can include large actions.
  • Keywords
    medical robotics; neurophysiology; patient rehabilitation; robot kinematics; virtual reality; repetitive practice; robotic interaction; robotic neuro-rehabilitation; skill generalization; unpracticed directions; unpracticed movement distances; unpracticed weight-eliminated condition; upper limb extremity rehabilitation; Gravity; Performance evaluation; Robot sensing systems; Training; Virtual reality; Visualization; Activities of Daily Living; Adult; Algorithms; Arm Injuries; Equipment Design; Female; Humans; Male; Motor Activity; Movement; Movement Disorders; Nervous System; Robotics; Upper Extremity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society (EMBC), 2010 Annual International Conference of the IEEE
  • Conference_Location
    Buenos Aires
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4123-5
  • Type

    conf

  • DOI
    10.1109/IEMBS.2010.5627308
  • Filename
    5627308