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The ankle strategy for postural control--a comparison between a model-based and a marker-based method

A Karlsson1, T Persson

  • 1Systems and Control Group, Uppsala University, Sweden. Annica.Karlsson@SysCon.uu.se

Computer Methods and Programs in Biomedicine
|March 1, 1997
PubMed
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This study compared marker-based and model-based methods for analyzing postural control and the ankle strategy in standing balance. The model-based method, using only force plate data, yielded comparable results to marker-based methods, enhancing clinical efficiency.

Area of Science:

  • Biomechanics
  • Human Movement Analysis
  • Postural Control

Background:

  • Postural control analysis commonly uses center of pressure or ground reaction force data.
  • Analyzing movement strategies offers a complementary approach to understanding balance.
  • The ankle strategy is a key component of maintaining upright stance.

Purpose of the Study:

  • To quantify the extent to which the ankle strategy is employed during standing balance.
  • To evaluate the sufficiency of force plate data versus marker-based systems for determining ankle strategy usage.

Main Methods:

  • Comparison of a marker-based method with a model-based method utilizing an inverted pendulum model.
  • Input for the model-based method consisted solely of force plate data.

Related Experiment Videos

  • Calculation of various measures to assess the utilization of the ankle strategy.

    • Main Results:

    • Both methods provided consistent general conclusions regarding ankle strategy use.
    • Differences were observed in the specific measures estimated by each method.
    • The model-based approach demonstrated significant potential for increased clinical effectiveness.

    Conclusions:

    • A model-based method using only force plate data is a viable and efficient alternative to marker-based systems for analyzing the ankle strategy.
    • This approach reduces data requirements and enhances clinical applicability without compromising the general findings.
    • Future research can leverage this model-based method for more accessible postural control assessments.