The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Gait variability: methods, modeling and meaning
Open accessAbstract
The study of gait variability, the stride-to-stride fluctuations in walking, offers a complementary way of quantifying locomotion and its changes with aging and disease as well as a means of monitoring the effects of therapeutic interventions and rehabilitation. Previous work has suggested that measures of gait variability may be more closely related to falls, a serious consequence of many gait disorders, than are measures based on the mean values of other walking parameters. The Current JNER series presents nine reports on the results of recent investigations into gait variability. One novel method for collecting unconstrained, ambulatory data is reviewed, and a primer on analysis methods is presented along with a heuristic approach to summarizing variability measures. In addition, the first studies of gait variability in animal models of neurodegenerative disease are described, as is a mathematical model of human walking that characterizes certain complex (multifractal) features of the motor control's pattern generator. Another investigation demonstrates that, whereas both healthy older controls and patients with a higher-level gait disorder walk more slowly in reduced lighting, only the latter's stride variability increases. Studies of the effects of dual tasks suggest that the regulation of the stride-to-stride fluctuations in stride width and stride time may be influenced by attention loading and may require cognitive input. Finally, a report of gait variability in over 500 subjects, probably the largest study of this kind, suggests how step width variability may relate to fall risk. Together, these studies provide new insights into the factors that regulate the stride-to-stride fluctuations in walking and pave the way for expanded research into the control of gait and the practical application of measures of gait variability in the clinical setting.
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Cites
Heart rate variability: Standards of measurement, physiological interpretation, and clinical use
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Advances in wearable technology and applications in physical medicine and rehabilitation
Bonato, P. (2005) · Journal of NeuroEngineering and Rehabilitation · doi:10.1186/1743-0003-2-2 · Cited by 385
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Herman, T., Giladi, N., & Hausdorff, J. M. (2009) · Journal of Neural Transmission · doi:10.1007/s00702-008-0139-z · Cited by 193
Use of wearable sensor technology in gait, balance, and range of motion analysis
Díaz, S., Stephenson, J. B., & Labrador, M. A. (2019) · Applied Sciences · doi:10.3390/app10010234 · Cited by 132
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The interest of gait markers in the identification of subgroups among fibromyalgia patients
Auvinet, B., Chaleil, D., Cabane, J., Dumolard, A., Hatron, P., Juvin, R., Lanteri-Minet, M., Mainguy, Y., Negre-Pages, L., Pillard, F., et al. (2011) · BMC Musculoskeletal Disorders · doi:10.1186/1471-2474-12-258 · Cited by 32
Quantification of gait changes in subjects with visual height intolerance when exposed to heights
Schniepp, R., Kugler, G., Wuehr, M., Eckl, M., Huppert, D., Huth, S., Pradhan, C., Jahn, K., & Brandt, T. (2014) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2014.00963 · Cited by 32
Pilot Study of the EncephaLog Smartphone Application for Gait Analysis
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Artificial intelligence detection of cognitive impairment in older adults during walking
Obuchi, S. P., Kojima, M., Suzuki, H., Garbalosa, J. C., Imamura, K., Ihara, K., Hirano, H., Sasai, H., Fujiwara, Y., & Kawai, H. (2024) · Alzheimer's & Dementia: Diagnosis, Assessment & Disease Monitoring · doi:10.1002/dad2.70012 · Cited by 18
Metadata
- Authors
- Hausdorff, J. M.
- Venue
- Journal of NeuroEngineering and Rehabilitation
- Published
- 2005-07-20
- Volume
- 2
- Issue
- 1
- Pages
- 19-19
- ISSN
- 1743-0003 (ISSN-L)
- OpenAlex
- W2109025609
- Cited by
- 934
- References
- 3
- FWCI
- 46.23
- Type
- journal article
- Language
- en
- Open access
- gold
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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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