The DOI matches its Crossref record; 75 of the 75 references it cites were found in a registry or an index.
Dynamic Principles of Gait and Their Clinical Implications
Open accessAbstract
A healthy gait pattern depends on an array of biomechanical features, orchestrated by the central nervous system for economy and stability. Injuries and other pathologies can alter these features and result in substantial gait deficits, often with detrimental consequences for energy expenditure and balance. An understanding of the role of biomechanics in the generation of healthy gait, therefore, can provide insight into these deficits. This article examines the basic principles of gait from the standpoint of dynamic walking, an approach that combines an inverted pendulum model of the stance leg with a pendulum model of the swing leg and its impact with the ground. The heel-strike at the end of each step has dynamic effects that can contribute to a periodic gait and its passive stability. Biomechanics, therefore, can account for much of the gait pattern, with additional motor inputs that are important for improving economy and stability. The dynamic walking approach can predict the consequences of disruptions to normal biomechanics, and the associated observations can help explain some aspects of impaired gait. This article reviews the basic principles of dynamic walking and the associated experimental evidence for healthy gait and then considers how the principles may be applied to clinical gait pathologies.
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Cites
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Cited by
Bionic ankle–foot prosthesis normalizes walking gait for persons with leg amputation
Herr, H. M., & Grabowski, A. M. (2012) · Proceedings of the Royal Society B: Biological Sciences · doi:10.1098/rspb.2011.1194 · Cited by 391
Two independent contributions to step variability during over-ground human walking
Collins, S. H., & Kuo, A. D. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073597 · Cited by 129
Self-citationSnaterse, M., Ton, R., Kuo, A. D., & Donelan, J. M. (2011) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00536.2010 · Cited by 98
Self-citationExplaining Machine Learning Models for Clinical Gait Analysis
Slijepcevic, D., Horst, F., Lapuschkin, S., Horsak, B., Raberger, A.-M., Kranzl, A., Samek, W., Breiteneder, C., Schöllhorn, W. I., & Zeppelzauer, M. (2022) · ACM Transactions on Computing for Healthcare · doi:10.1145/3474121 · Cited by 82
Lazzarini, P. A., Armstrong, D. G., Crews, R. T., Gooday, C., Jarl, G., Kirketerp‐Moller, K., Viswanathan, V., & Bus, S. A. (2024) · Diabetes/Metabolism Research and Reviews · doi:10.1002/dmrr.3650 · Cited by 57
Metadata
- Authors
- Kuo, A. D., & Donelan, J. M.
- Venue
- Physical Therapy
- Publisher
- Oxford University Press (OUP)
- Published
- 2010-02-01
- Volume
- 90
- Issue
- 2
- Pages
- 157-174
- ISSN
- 0031-9023 (ISSN-L)
- 1538-6724
- OpenAlex
- W2064378669
- Cited by
- 485
- References
- 75
- FWCI
- 30.28
- Type
- journal article
- Language
- en
- Open access
- green
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- Kuo, A. D., & Donelan, J. M. (2010). Dynamic Principles of Gait and Their Clinical Implications. Physical Therapy. https://doi.org/10.2522/ptj.20090125
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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