• DocumentCode
    1983407
  • Title

    Asymmetric adaptation in human walking using the Tethered Pelvic Assist Device (TPAD)

  • Author

    Vashista, Vineet ; Reisman, D.S. ; Agrawal, Sunil K.

  • Author_Institution
    Dept. of Mech. Eng., Columbia Univ., New York, NY, USA
  • fYear
    2013
  • fDate
    24-26 June 2013
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Human nervous system is capable of modifying motor commands in response to alterations in walking conditions. Previous research has shown that external perturbations that induce gait asymmetry can lead to adaptation in gait parameters. Such strategies have also been shown to temporarily restore gait symmetry in subjects with post stroke hemiparesis. This work aims to develop an experimental paradigm to induce gait asymmetry in human subjects by applying external asymmetric forces on the pelvis through the Tethered Pelvic Assist Device (TPAD). These external forces on the pelvis have the potential to influence the swing and the stance phases of both legs. Eight healthy subjects participated in the experiment where a higher resistive force was applied on the pelvis during the swing phase of the left leg as compared to the right leg. We hypothesized that such asymmetrically applied forces on the pelvis will lead to asymmetric adaptation in the human walking.
  • Keywords
    assisted living; gait analysis; handicapped aids; legged locomotion; neurophysiology; TPAD; asymmetric adaptation; gait asymmetry; gait parameter; human nervous system; human walking; leg stance phase; legs swing phase; motor command; resistive force; stroke hemiparesis; tethered pelvic assist device; Belts; Educational institutions; Force; Hip; Legged locomotion; Pelvis; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Rehabilitation Robotics (ICORR), 2013 IEEE International Conference on
  • Conference_Location
    Seattle, WA
  • ISSN
    1945-7898
  • Print_ISBN
    978-1-4673-6022-7
  • Type

    conf

  • DOI
    10.1109/ICORR.2013.6650385
  • Filename
    6650385