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  • A Stiff Tendon Neuromusculoskeletal Model of the Knee

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    Author(s)
    Sartori, M
    Lloyd, DG
    Reggiani, M
    Pagello, E
    Griffith University Author(s)
    Lloyd, David
    Year published
    2009
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    Abstract
    Now more than ever, progresses in information technology applied to rehabilitation robotics give new hopes to people recovering from different kinds of diseases and injuries. Beside the standard application of EMG signals to analyze disabilities or to track progress in rehabilitation, more focus has been put on controlling robot arms and exoskeletons. In recent years, biomechanists have developed very complex neuromusculoskeletal (NM) models of human joints to understand how the nervous system controls muscles and generates movements. Aware of these potentials, we have started a process of simplification to obtain ...
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    Now more than ever, progresses in information technology applied to rehabilitation robotics give new hopes to people recovering from different kinds of diseases and injuries. Beside the standard application of EMG signals to analyze disabilities or to track progress in rehabilitation, more focus has been put on controlling robot arms and exoskeletons. In recent years, biomechanists have developed very complex neuromusculoskeletal (NM) models of human joints to understand how the nervous system controls muscles and generates movements. Aware of these potentials, we have started a process of simplification to obtain a NM model suitable for the realtime control for a lower extremity exoskeleton. In this paper we present the NM model for the knee previously developed by Lloyd et al. [1]. We then investigate the effects of assuming the tendon infinitely stiff and show how this simplification does not affect the capacity of the model to predict muscle force and joint moment. We also assess the decrease in processing time required to calibrate the model and perform runtime estimates of muscles. Finally, we illustrate the implications of our research for the health care economic and social systems.
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    Conference Title
    Proceedings of IEEE Workshop on Advanced Robotics and its Social Impacts, ARSO
    DOI
    https://doi.org/10.1109/ARSO.2009.5587058
    Copyright Statement
    © 2009 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/10072/40070
    Collection
    • Conference outputs

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