Skip to main content

Advertisement

SpringerLink
Log in

Letter to the Editor: “Sensitivity of the Wolf’s and Rosenstein’s Algorithms to Evaluate Local Dynamic Stability from Small Gait Data Sets”

  • Published:
Annals of Biomedical Engineering Aims and scope Submit manuscript

A Commentary to this article was published on 09 October 2012

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

References

  1. Bruijn, S. M., J. H. van Dieen, O. G. Meijer, and P. J. Beek. Statistical precision and sensitivity of measures of dynamic gait stability. J Neurosci Methods 178(2):327–333, 2009.

    Article  PubMed  Google Scholar 

  2. Cignetti, F., L. M. Decker, and N. Stergiou. Sensitivity of the Wolf’s and Rosenstein’s algorithms to evaluate local dynamic stability from small gait data sets. Ann. Biomed. Eng. 2011.

  3. Kang, H. G., and J. B. Dingwell. Intra-session reliability of local dynamic stability of walking. Gait Posture 24(3):386–390, 2006.

    Article  PubMed  Google Scholar 

  4. Kantz, H., and T. Schreiber. Nonlinear time series analysis. Cambridge nonlinear science series; 71997, Cambridge; New York: Cambridge University Press. xvi, 304 pp.

  5. Rosenstein, M. T., J. J. Collins, and C. J. Deluca. A practical method for calculating largest Lyapunov exponents from small data sets. Physica D 65(1–2):117–134, 1993.

    Article  Google Scholar 

  6. Sprott, J. C. Chaos and Time-Series Analysis. Oxford: Oxford University Press, 2003.

  7. Wolf, A., J. B. Swift, H. L. Swinney, and J. A. Vastano. Determining Lyapunov exponents from a time-series. Physica D 16(3):285–317, 1985.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Motor Control Laboratory, Research Centre for Movement Control and Neuroplasticity, Department of Biomedical Kinesiology, K.U. Leuven, Leuven, Belgium

    Sjoerd M. Bruijn

  2. Department of Orthopedics, First Affiliated Hospital of Fujian Medical University, Fuzhou, Fujian, People’s Republic of China

    Sjoerd M. Bruijn

  3. Research Institute MOVE, Faculty of Human Movement Sciences, VU University, Amsterdam, The Netherlands

    Onno G. Meijer, Sietse M. Rispens, Andreas Daffertshofer & Jaap H. van Dieën

  4. Second Affiliated Hospital of Fujian Medical University, Quanzhou, Fujian, People’s Republic of China

    Onno G. Meijer

  5. Department of Rehabilitation, Fujian Medical University, Fuzhou, Fujian, People’s Republic of China

    Onno G. Meijer

Authors
  1. Sjoerd M. Bruijn
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Onno G. Meijer
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Sietse M. Rispens
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Andreas Daffertshofer
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. Jaap H. van Dieën
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sjoerd M. Bruijn.

Additional information

Associate Editor Catherine Disselhorst-Klug oversaw the review of this article.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Bruijn, S.M., Meijer, O.G., Rispens, S.M. et al. Letter to the Editor: “Sensitivity of the Wolf’s and Rosenstein’s Algorithms to Evaluate Local Dynamic Stability from Small Gait Data Sets”. Ann Biomed Eng 40, 2505–2506 (2012). https://doi.org/10.1007/s10439-012-0586-4

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s10439-012-0586-4

Keywords

Search

Navigation