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Inertial sensing for human motor control symmetry in injury rehabilitation

Conference Paper


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Abstract


  • This paper proposes a series of methods for

    representing changes in human motion during injury rehabilitation

    using Micro-Electro-Mechanical Systems (MEMS)

    inertial sensors. Tracking the changes over a recovery period

    requires methods for evaluating the similarity of movement in

    an impaired state against a non-impaired state. We investigate

    the use of motion analyses such as the centre of mass (COM)

    tipping distance, the variance of joint velocity eigenvalues

    and the cumulative state changes of Gaussian mixture models

    (GMM) for monitoring the symmetry between the left and right

    sides of body during rehabilitation exercises. The methods are

    tested on an injured athlete over 4 months of recovery from

    an ankle operation and validated by comparing the observed

    improvement to the variation among a group of uninjured

    subjects. The results indicate that gradual changes are detected

    in the motion symmetry, thus providing quantitative measures

    to aid clinical decisions.

Publication Date


  • 2013

Citation


  • M. Field, D. Stirling, M. Ros, Z. Stephen. Pan & F. Naghdy, "Inertial sensing for human motor control symmetry in injury rehabilitation," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 1470-1475.

Scopus Eid


  • 2-s2.0-84883659065

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2274&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1265

Has Global Citation Frequency


Start Page


  • 1470

End Page


  • 1475

Place Of Publication


  • United States

Abstract


  • This paper proposes a series of methods for

    representing changes in human motion during injury rehabilitation

    using Micro-Electro-Mechanical Systems (MEMS)

    inertial sensors. Tracking the changes over a recovery period

    requires methods for evaluating the similarity of movement in

    an impaired state against a non-impaired state. We investigate

    the use of motion analyses such as the centre of mass (COM)

    tipping distance, the variance of joint velocity eigenvalues

    and the cumulative state changes of Gaussian mixture models

    (GMM) for monitoring the symmetry between the left and right

    sides of body during rehabilitation exercises. The methods are

    tested on an injured athlete over 4 months of recovery from

    an ankle operation and validated by comparing the observed

    improvement to the variation among a group of uninjured

    subjects. The results indicate that gradual changes are detected

    in the motion symmetry, thus providing quantitative measures

    to aid clinical decisions.

Publication Date


  • 2013

Citation


  • M. Field, D. Stirling, M. Ros, Z. Stephen. Pan & F. Naghdy, "Inertial sensing for human motor control symmetry in injury rehabilitation," in 2013 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), 2013, pp. 1470-1475.

Scopus Eid


  • 2-s2.0-84883659065

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=2274&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/1265

Has Global Citation Frequency


Start Page


  • 1470

End Page


  • 1475

Place Of Publication


  • United States