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  • Biofeedback for gait retraining based on real-time estimation of tibiofemoral joint contact forces

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    Author(s)
    Pizzolato, Claudio
    Reggiani, Monica
    Saxby, David J
    Ceseracciu, Elena
    Modenese, Luca
    Lloyd, David G
    Griffith University Author(s)
    Lloyd, David
    Saxby, David J.
    Pizzolato, Claudio
    Year published
    2017
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    Abstract
    Biofeedback assisted rehabilitation and intervention technologies have the potential to modify clinically relevant biomechanics. Gait retraining has been used to reduce the knee adduction moment, a surrogate of medial tibiofemoral joint loading often used in knee osteoarthritis research. In this study we present an electromyogram-driven neuromusculoskeletal model of the lower-limb to estimate, in real-time, the tibiofemoral joint loads. The model included 34 musculotendon units spanning the hip, knee, and ankle joints. Full-body inverse kinematics, inverse dynamics, and musculotendon kinematics were solved in real-time from ...
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    Biofeedback assisted rehabilitation and intervention technologies have the potential to modify clinically relevant biomechanics. Gait retraining has been used to reduce the knee adduction moment, a surrogate of medial tibiofemoral joint loading often used in knee osteoarthritis research. In this study we present an electromyogram-driven neuromusculoskeletal model of the lower-limb to estimate, in real-time, the tibiofemoral joint loads. The model included 34 musculotendon units spanning the hip, knee, and ankle joints. Full-body inverse kinematics, inverse dynamics, and musculotendon kinematics were solved in real-time from motion capture and force plate data to estimate the knee medial tibiofemoral contact force (MTFF). We analyzed 5 healthy subjects while they were walking on an instrumented treadmill with visual biofeedback of their MTFF. Each subject was asked to modify their gait in order to vary the magnitude of their MTFF. All subjects were able to increase their MTFF, whereas only 3 subjects could decrease it, and only after receiving verbal suggestions about possible gait modification strategies. Results indicate the important role of knee muscle activation patterns in modulating the MTFF. While this study focused on the knee, the technology can be extended to examine the musculoskeletal tissue loads at different sites of the human body.
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    Journal Title
    IEEE Transactions on Neural Systems and Rehabilitation Engineering
    Volume
    25
    Issue
    9
    DOI
    https://doi.org/10.1109/TNSRE.2017.2683488
    Copyright Statement
    © The Authors 2017. This is an Open Access article distributed under the terms of the Creative Commons Attribution 3.0 Unported (CC BY 3.0) License (https://creativecommons.org/licenses/by/3.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
    Subject
    Biomedical engineering
    Biomedical engineering not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/340666
    Collection
    • Journal articles

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