Skip to main content
SpringerLink
Log in

Power spectrum analysis of human femoral rotations during gait

  • Technical Note
  • Published:
Medical and Biological Engineering and Computing Aims and scope Submit manuscript

Abstract

Femoral rotational waveforms sampled at 15 Hz for a duration 20 s satisfy the sampling rate and frequency resolution requirements of such waveforms during walking. Spectral analysis provides a unique signature of the frequency composition of such signals. This identity may prove useful in characterising human gait and could be of value in future studies of walking in health and disease.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  • Ayers, M. B., Pearcy, M. J., Frick, R. A., andSharp, M. H. (1996): ‘Bilateral femoral rotations measured during walking: A new parameter to summarise and describe individual gait’,Clin. Biomech. 11, pp. 354–357.

    Article  Google Scholar 

  • Pearcy, M. J., Gill, J. M., Whittle, M. W., andJohnson, G. R. (1987): ‘Dynamic back movements measured using a three-dimensional television system’,J. Biomech. 20, pp. 943–949

    Article  Google Scholar 

  • Marple, S. L. (1987). ‘Digital spectral analysis with applications’, (Prentice Hall, Englewood Cliffs, NJ, USA)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. School of Engineering, Flinders University, Adelaide, SA, Australia

    H. Nazeran & H. G. Hosseini

  2. School of Physiotherapy, University of South Australia, Adelaide, SA, Australia

    M. B. Ayers

  3. School of Mechanical, Manufacturing and Medical Engineering, Queensland University of Technology, Brisbane, Queensland, Australia

    M. J. Pearcy

Authors
  1. H. Nazeran
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. H. G. Hosseini
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. M. B. Ayers
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. M. J. Pearcy
    View author publications

    You can also search for this author in PubMed Google Scholar

Rights and permissions

Reprints and permissions

About this article

Cite this article

Nazeran, H., Hosseini, H.G., Ayers, M.B. et al. Power spectrum analysis of human femoral rotations during gait. Med. Biol. Eng. Comput. 35, 553–555 (1997). https://doi.org/10.1007/BF02525540

Download citation

  • Received:

  • Accepted:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02525540

Keywords

Search

Navigation