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  • Fast Operation of Anatomical and Stiff Tendon Neuromuscular Models in EMG-driven Modeling

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    Author(s)
    Sartori, M
    Lloyd, DG
    Reggiani, M
    Pagello, E
    Griffith University Author(s)
    Lloyd, David
    Year published
    2010
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    Abstract
    The inclusion of robotic systems in physiotherapy allows developing new solutions for the rehabilitation and support of disabled people. Our research addresses the core problem for the advancement of such applications: the availability of a human machine interface offering intuitive control of robotic devices. In this paper we present an EMG-driven model of the human lower limb based on that previously developed by Lloyd et al [1]. We then introduce a set of enhancements that allow reducing time and memory requirements and provide real-time performances for the control of a lower limb powered orthosis.The inclusion of robotic systems in physiotherapy allows developing new solutions for the rehabilitation and support of disabled people. Our research addresses the core problem for the advancement of such applications: the availability of a human machine interface offering intuitive control of robotic devices. In this paper we present an EMG-driven model of the human lower limb based on that previously developed by Lloyd et al [1]. We then introduce a set of enhancements that allow reducing time and memory requirements and provide real-time performances for the control of a lower limb powered orthosis.
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    Conference Title
    Proceedings - IEEE International Conference on Robotics and Automation
    DOI
    https://doi.org/10.1109/ROBOT.2010.5509932
    Copyright Statement
    © 2010 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
    Subject
    Biomechanics
    Publication URI
    http://hdl.handle.net/10072/40078
    Collection
    • Conference outputs

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