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Cited by 663

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Local Dynamic Stability Versus Kinematic Variability of Continuous Overground and Treadmill Walking

Dingwell, J. B., Cusumano, J. P., Cavanagh, P. R., Sternad, D.·2001·Journal of Biomechanical Engineering

Abstract

This study quantified the relationships between local dynamic stability and variability during continuous overground and treadmill walking. Stride-to-stride standard deviations were computed from temporal and kinematic data. Maximum finite-time Lyapunov exponents were estimated to quantify local dynamic stability. Local stability of gait kinematics was shown to be achieved over multiple consecutive strides. Traditional measures of variability poorly predicted local stability. Treadmill walking was associated with significant changes in both variability and local stability. Thus, motorized treadmills may produce misleading or erroneous results in situations where changes in neuromuscular control are likely to affect the variability and/or stability of locomotion.

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Metadata

Authors
Dingwell, J. B., Cusumano, J. P., Cavanagh, P. R., & Sternad, D.
Venue
Journal of Biomechanical Engineering
Published
2000-10-16
Volume
123
Issue
1
Pages
27-32
ISSN
  • 0148-0731 (ISSN-L)
  • 1528-8951
OpenAlex
W2029880081
Cited by
663
References
2
FWCI
7.63
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Local Dynamic Stability Versus Kinematic Variability of Continuous Overground and Treadmill Walking. https://app.cochat.ai/papers/10.1115/1.1336798
The paper
Dingwell, J. B., Cusumano, J. P., Cavanagh, P. R., & Sternad, D. (2001). Local Dynamic Stability Versus Kinematic Variability of Continuous Overground and Treadmill Walking. Journal of Biomechanical Engineering. https://doi.org/10.1115/1.1336798

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.