• DocumentCode
    3108990
  • Title

    Inverse-Dynamics Based Assessment of Gait using a Robotic Orthosis

  • Author

    Hidler, J. ; Neckel, N.

  • Author_Institution
    Dept. of Biomed. Eng., Catholic Univ., Washington, DC
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 3 2006
  • Firstpage
    185
  • Lastpage
    188
  • Abstract
    Body-weight supported treadmill training following neurological disorders such as stroke and spinal cord injuries (SCI) has become an integral part of rehabilitation for treating gait disorders. Unfortunately techniques for selecting important training parameters, such as walking speed and body-weight support, have not been established. Here we present a 3-D inverse-dynamics based approach for evaluating an individual´s ability to ambulate, in terms of evaluating the magnitude and timing of joint moments at the ankle, knee and hip. This technique, which utilizes an instrumented gait robot, allows clinicians and researchers the ability to determine the training parameters in which subjects generate joint moments at the proper phases of the gait cycle which when combined with electromyographic recordings, can help establish and then progress training parameters for individuals on a subject-by-subject basis. We believe that training subjects at their preferred walking speed and body-weight support will lead to higher functional outcomes
  • Keywords
    electromyography; gait analysis; medical robotics; neurophysiology; orthotics; patient rehabilitation; patient treatment; 3D inverse dynamics; body-weight support; electromyographic recordings; gait disorder treatment; joint moments; neurological disorders; patient rehabilitation; robotic orthosis; spinal cord injuries; stroke; treadmill training; walking speed; Belts; DC motors; Hip; Knee; Leg; Legged locomotion; Muscles; Rehabilitation robotics; Robots; USA Councils; assessment; gait; robotics; spinal cord injury; stroke;
  • 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.2006.259392
  • Filename
    4461716