Model-Based Estimation of Ankle Joint Stiffness During Dynamic Tasks: a Validation-Based Approach

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    Abstract

    Joint stiffness estimation under dynamic conditions still remains a challenge. Current stiffness estimation methods often rely on the external perturbation of the joint. In this study, a novel 'perturbation-free' stiffness estimation method via electromyography (EMG)-driven musculoskeletal modeling was validated for the first time against system identification techniques. EMG signals, motion capture, and dynamic data of the ankle joint were collected in an experimental setup to study the ankle joint stiffness in a controlled way, i.e. at a movement frequency of 0.6 Hz as well as in the presence and absence of external perturbations. The model-based joint stiffness estimates were comparable to system identification techniques. The ability to estimate joint stiffness at any instant of time, with no need to apply joint perturbations, might help to fill the gap of knowledge between the neural and the muscular systems and enable the subsequent development of tailored neurorehabilitation therapies and biomimetic prostheses and orthoses.
    Original languageEnglish
    Title of host publication2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
    PublisherIEEE
    Pages4104-4107
    Number of pages4
    ISBN (Electronic)978-1-5386-1311-5
    ISBN (Print)978-1-5386-1312-2
    DOIs
    Publication statusPublished - 7 Oct 2019
    Event41st International Engineering in Medicine and Biology Conference, EMBC 2019: Biomedical Engineering Ranging from Wellness to Intensive Care Medicine - CityCube Berlin, Berlin, Germany
    Duration: 23 Jul 201927 Jul 2019
    Conference number: 41
    https://embc.embs.org/2019/

    Conference

    Conference41st International Engineering in Medicine and Biology Conference, EMBC 2019
    Abbreviated titleEMBC
    CountryGermany
    CityBerlin
    Period23/07/1927/07/19
    Internet address

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