• DocumentCode
    1759843
  • Title

    Real-Time Knee Adduction Moment Feedback Training Using an Elliptical Trainer

  • Author

    Sang Hoon Kang ; Song Joo Lee ; Yupeng Ren ; Li-Qun Zhang

  • Author_Institution
    Dept. of Phys. Med. & Rehabilitation, Northwestern Univ., Chicago, IL, USA
  • Volume
    22
  • Issue
    2
  • fYear
    2014
  • fDate
    41699
  • Firstpage
    334
  • Lastpage
    343
  • Abstract
    The external knee adduction moment (EKAM) is associated with knee osteoarthritis (OA) in many aspects including presence, progression, and severity of knee OA. Despite of its importance, there is a lack of EKAM estimation methods that can provide patients with knee OA real-time EKAM biofeedback for training and clinical evaluations without using a motion analysis laboratory. A practical real-time EKAM estimation method, which utilizes kinematics measured by a simple six degree-of-freedom goniometer and kinetics measured by a multi-axis force sensor underneath the foot, was developed to provide real-time feedback of the EKAM to the patients during stepping on an elliptical trainer, which can potentially be used to control and alter the EKAM. High reliability (ICC(2,1): 0.9580) of the real-time EKAM estimation method was verified through stepping trials of seven subjects without musculoskeletal disorders. Combined with advantages of elliptical trainers including functional weight-bearing stepping and mitigation of impulsive forces, the real-time EKAM estimation method is expected to help patients with knee OA better control frontal plane knee loading and reduce knee OA development and progression.
  • Keywords
    biomedical equipment; diseases; force feedback; force measurement; force sensors; gait analysis; goniometers; kinematics; medical computing; EKAM estimation methods; elliptical trainer; external knee adduction moment; functional weight-bearing stepping; impulsive force mitigation; kinematics measurement; kinetics measurement; knee OA real-time EKAM biofeedback; knee osteoarthritis presence; knee osteoarthritis progression; knee osteoarthritis severity; multiaxis force sensor; real-time knee adduction moment feedback training; simple six degree-of-freedom goniometer; Dynamics; Estimation; Foot; Goniometers; Kinematics; Knee; Real-time systems; Center of pressure (COP); knee adduction moment; knee osteoarthritis (OA); real-time biofeedback;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2013.2291203
  • Filename
    6665072