• DocumentCode
    642592
  • Title

    Using a robotic interface and haptic feedback to improve grip coordination of hand function following stroke — Case study

  • Author

    Kazemi, Hamed ; Kearney, Robert E. ; Milner, Theodore E.

  • Author_Institution
    Dept. of Biomed. Eng., McGill Univ., Montreal, QC, Canada
  • fYear
    2013
  • fDate
    26-29 Aug. 2013
  • Firstpage
    196
  • Lastpage
    197
  • Abstract
    This paper presents preliminary data on investigating the effect of a novel grip coordination exercise using a robotic interface to improve coordination between wrist and fingers following stroke. Pilot data from a post-stroke subject indicates that after receiving 4 weeks (1 hour × 3 days per week) of grip coordination training, the subject significantly reduced the grip force used in performing the grasp and twist task and avoided using excessive force to stabilize the object. The grip force after training was more similar to control performance. In addition, the parallel coupling of grip force and load torque as well as close amplitude coupling of force produced by the thumb and the rest of the fingers increased and became more similar to that of control subjects.
  • Keywords
    grippers; haptic interfaces; medical computing; medical robotics; patient treatment; fingers; grasp task; grip coordination exercise; grip coordination training; grip force; hand function following stroke; haptic feedback; load torque; parallel coupling; robotic interface; twist task; wrist; Force; Robot kinematics; Thumb; Torque; Training; grip coordination; grip force control; hand function; haptic feedback; rehabilitation robotic; stroke;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Virtual Rehabilitation (ICVR), 2013 International Conference on
  • Conference_Location
    Philadelphia, PA
  • Type

    conf

  • DOI
    10.1109/ICVR.2013.6662128
  • Filename
    6662128