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A Quantitative Method for Assessment of Differentiation Techniques Used for Locomotion Analysis

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Part of the book series: Strathclyde Bioengineering Seminars ((KESE))

Abstract

Photogrammetric techniques are widely used for the study of human movement. These techniques allow the 3-D positions of anatomical landmarks to be determined at regular time intervals. The development of computer interfaced optoelectronic measurement systems has significantly reduced the time and manual effort involved in data acquisition, making the use of photogrammetry in locomotion analysis feasible on a routine basis. These perspectives have provided the impetus for the application of time series techniques for determining velocities and accelerations of limb segments.

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References

  • Anderssen, R. S. and Bloomfield, P. (1974). A time series approach to numerical differentiation. Technometrics, 16 (1), 64–75.

    Article  Google Scholar 

  • Bernstein, N. (1967). The Co-ordination and Regulation of Movements, Pergamon Press, Oxford.

    Google Scholar 

  • Cappozzo, A., Leo, T. and Pedotti, A. (1975). A general computing method for the analysis of human locomotion. J. Biomechanics, 8, 307–320.

    Article  CAS  Google Scholar 

  • Dierckx, P. and Ressens, R. (1977). Calculation of Fourier coefficients of discrete functions using cubic splines. Report TW 32, Applied Mathematics and Programming Division, K. U. Leuven, Belgium.

    Google Scholar 

  • Felkel, E. O. (1951). Determination of acceleration from displacement-time data. Prosthetic Devices Research Project. Institute of Engineering Research, University of California, Berkeley, Series 11, 16.

    Google Scholar 

  • Gustafsson, L. and Lanshmmar, H. (1977). ENOCH An integrated system for measurement and analysis of human gait. Institute of Technology, Uppsala University, S-751–21, Uppsala, Sweden.

    Google Scholar 

  • Hamming, R. W. (1977). Digital Filters, Prentice Hall, Englewood Cliffs, New Jersey.

    Google Scholar 

  • Hatze, H. (1981). The use of optimally regularized Fourier series for estimating higher-order derivatives of noisy biomechanical data. J. Biomechanics, 14, 13–18.

    Article  CAS  Google Scholar 

  • Lesh, M. D., Mansour, J. M. and Simon, S. P. (1979). A gait analysis subsystem for smoothing and differentiation of human motion data. J. Biomechanical Eng., 101, 205–212.

    Article  Google Scholar 

  • McLaughlin, T. M., Dillman, C. J. and Lardner, T. J. (1977). Biomechanical analysis with cubic spline functions. Res. Q., 48, 569–582.

    CAS  PubMed  Google Scholar 

  • Miller, N. R., Shapiro, R. and McLaughlin, T. M. (1980). A technique for obtaining spatial kinematic parameters of segments of biomechanical systems for cinematographic data. J. Biomechanics, 13, 535–547.

    Article  CAS  Google Scholar 

  • Pezzack, J. C., Norman, R. W. and Winter, O. (1977). An assessment of derivative determining techniques used for motion analysis. J. Biomechanics, 10, 377–382.

    Article  CAS  Google Scholar 

  • Plagenhoef, S. C. (1968). Computer programs for obtaining kinetic data on human movements. J. Biomechanics, 1, 221–234.

    Article  CAS  Google Scholar 

  • Soudan, K. and Dierckx, P. (1977). Calculation of derivatives and Fourier coefficients of human motion data, while using spline functions. J. Biomechanics, 12, 21–26.

    Article  Google Scholar 

  • Viviani, P. and Terzuolo, C. A. (1973). Modelling of a simple motor task in man; intentional arrest of an ongoing movement. Kibern, 14, 35–62.

    Article  CAS  Google Scholar 

  • Winter, D. A., Sidwall, H. G. and Hobson, D. A. (1974). Measurement and reduction of noise in kinematics of locomotion. J. Biomechanics, 7, 157–159.

    Article  CAS  Google Scholar 

  • Zernicke, R. F., Caldwell, G. and Roberts, E. M. (1976). Fitting biomechanical data with cubic spline functions. Res. Q., 47, 9–19.

    CAS  PubMed  Google Scholar 

Download references

Authors

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J. P. Paul M. M. Jordan M. W. Ferguson-Pell B. J. Andrews

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© 1982 Bioengineering Unit, University of Strathclyde

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Andrews, B.J., Cappozzo, A., Gazzani, F. (1982). A Quantitative Method for Assessment of Differentiation Techniques Used for Locomotion Analysis. In: Paul, J.P., Jordan, M.M., Ferguson-Pell, M.W., Andrews, B.J. (eds) Computing in Medicine. Strathclyde Bioengineering Seminars. Palgrave, London. https://doi.org/10.1007/978-1-349-06077-1_22

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  • DOI: https://doi.org/10.1007/978-1-349-06077-1_22

  • Publisher Name: Palgrave, London

  • Print ISBN: 978-1-349-06079-5

  • Online ISBN: 978-1-349-06077-1

  • eBook Packages: MedicineMedicine (R0)

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