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  • time dependent curves

    Originally posted on Tue, 23 Mar 93 18:17:47 SET
    From: LK1BOQ72@ICINECA.BITNET

    Some time ago I have posted the following question:

    Can anyone help with this problem:
    I am writing a computer simulation to determine the forces acting on the
    prosthetic head in different hip joint simulators (devices which generate in
    vitro wear in prosthetic joints). My model generate a time curve for every
    force component which I compare with the physiological curves propesed by
    Paul. Which sintetic descriptor can I use to compare those curves, to say that
    one simulator is generating a force history which is more close to the
    physiological pattern than another? The method should give more importance to
    short time force drifts and less to eventual small time shifts.

    Here below there is the collection of the answer I've received;
    it must be noted that the number of request for info was more
    than the answers. Maybe the question was unclear, or maybe I've hit
    a common problem. In any case, I feel that further discussion would needed.

    From: jill mcnitt

    Please let us know responses to your time curve comparison question. We've
    tried cross correlation techniques.
    Jill McNitt-Gray
    USC Biomechanics Lab

    From: "Maury A. Nussbaum"

    I am sending you a message because I am curious as to the responses to
    the message you posted on Biomech-L regarding comparisons of force
    histories. I would like to request that you post a summary of the
    responses as I think many people would be interested.

    From: GWOOD@FENNEL.WT.UWA.EDU.AU

    Dear Marco,
    Might I suggest that you model your force curves as a Fourier series and use
    the coefficients to compare the similarity of the curves. This would also
    allow you to priortise the frequency components in terms of wear potential.
    McNeill Alexander use such a modelling approach some years back and reported
    his work in the Journal of Biomechanics I believe.
    Hope this quick comment is helpful.

    Regards,

    Graeme A. Wood, PhD
    Human Movement Department
    The University of Western Australia

    Beside the suggestion of G. Wood, which was probably interesting but
    we refused for computational reasons, non of the suggestions fitted
    our problem. So, we had to find the way by ourselves. Finally we found
    useful a cost function definition used on trajectory tracing problem,
    tipical of automatic controls. The cost function is defined as:
    J = K * Integral (eT Q e) dt
    where:
    J = dimensionless cost function
    K = normalization factor; we choosen it such that the biggest J in our
    study became equal to 100. K dimensions in our problem were
    N-2s-1Y
    e = instantaneous error vector between the two curves; here is
    NY
    Q = weight positive definite matrix; here was choose the identity matrix
    in a spatial problem like our, e is a 3x1 vector and Q is a 3x3 matrix.
    The integral on time is extended from initial to final time.

    Thank to anybody for the suggestions. I'll be glad to receive any comment
    on this idea; due to the reduced discussion, this can also be considered as
    a reposting of the question itself.

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