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Measures of dynamic stability: Detecting differences between walking overground and on a compliant surface
Matthew David Chang1, Ervin Sejdić, Virginia Wright
1Bloorview Research Institute, 150 Kilgour Road, Toronto, ON, Canada.
Human Movement Science
|July 27, 2010
Summary
The Lyapunov exponent, a measure of dynamic stability, shows greater sensitivity to gait changes on compliant surfaces compared to stride interval dynamics and gait variability. This finding aids in assessing fall risk in the elderly.
Area of Science:
- Biomechanics
- Gait Analysis
- Gerontology
Background:
- Traditional dynamic stability measures (e.g., stride interval variability) inadequately capture temporal gait information, limiting their effectiveness in fall risk assessment.
- Advanced methods like stride interval dynamics and the maximum Lyapunov exponent are being explored for more robust stability analysis.
Purpose of the Study:
- To compare the sensitivity of the maximum Lyapunov exponent and stride interval dynamics in detecting gait alterations induced by walking on a compliant surface.
- To evaluate the aptness of these advanced measures for assessing dynamic stability and fall risk.
Main Methods:
- Fourteen healthy participants performed overground and compliant-surface walking trials.
- Analysis included stride interval dynamics, gait variability, and the maximum Lyapunov exponent to quantify local dynamic stability.
Main Results:
- The maximum Lyapunov exponent demonstrated higher sensitivity to gait changes on a compliant surface compared to stride interval dynamics.
- Gait variability measures were also less sensitive than the Lyapunov exponent in this context.
Conclusions:
- The maximum Lyapunov exponent appears to be a more sensitive indicator of altered dynamic stability during gait perturbations than traditional measures.
- This finding suggests the Lyapunov exponent's potential utility in improving fall risk assessment in older adults.
