• DocumentCode
    2030279
  • Title

    Haptic gait retraining for knee osteoarthritis treatment

  • Author

    Shull, Pete ; Lurie, Kristen ; Shin, Mihye ; Besier, Thor ; Cutkosky, Mark

  • Author_Institution
    Dept. of Mech. Engr., Stanford Univ., Stanford, CA, USA
  • fYear
    2010
  • fDate
    25-26 March 2010
  • Firstpage
    409
  • Lastpage
    416
  • Abstract
    In this paper we introduce haptic gait retraining as a new method for treating early stage medial compartment knee osteoarthritis and for reducing risk of the disease in individuals who may be susceptible. The hardware and software for implementation are presented including rotational skin stretch and vibration haptic devices used to inform subjects of alterations in gait movements. We also present a method based on real-time motion analysis for predicting new subject-specific gaits tailored to change knee joint loading. This approach uses correlation data between gait parameters and knee loading as well as a localized linearization technique to compute a final combined-parameter gait with minimum change from the subject´s original, unaltered gait. Finally, we validate the haptic gait retraining system with a user experiment and show that, for the duration of the experiment, the user is able to positively change knee joint loading to approximately the same degree as HTO surgery.
  • Keywords
    diseases; gait analysis; haptic interfaces; linearisation techniques; patient treatment; vibrations; disease; early stage medial compartment knee osteoarthritis; gait movements; haptic gait retraining; knee joint loading; knee osteoarthritis treatment; localized linearization; real-time motion analysis; rotational skin stretch device; subject-specific gaits; vibration haptic device; Arthritis; Costs; Feedback; Haptic interfaces; Knee; Medical services; Motion analysis; Osteoarthritis; Skin; Surgery;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Haptics Symposium, 2010 IEEE
  • Conference_Location
    Waltham, MA
  • Print_ISBN
    978-1-4244-6821-8
  • Electronic_ISBN
    978-1-4244-6820-1
  • Type

    conf

  • DOI
    10.1109/HAPTIC.2010.5444625
  • Filename
    5444625