The use of dimensionless scaling strategies in gait analysis

Carty, Christopher P. and Bennett, Michael B. (2009) The use of dimensionless scaling strategies in gait analysis. Human Movement Science, 28 2: 218-225. doi:10.1016/j.humov.2009.01.004

Author Carty, Christopher P.
Bennett, Michael B.
Title The use of dimensionless scaling strategies in gait analysis
Journal name Human Movement Science   Check publisher's open access policy
ISSN 0167-9457
Publication date 2009-04-01
Year available 2009
Sub-type Article (original research)
DOI 10.1016/j.humov.2009.01.004
Open Access Status Not yet assessed
Volume 28
Issue 2
Start page 218
End page 225
Total pages 8
Place of publication The Netherlands
Publisher Elsevier
Language eng
Abstract The effectiveness of dimensionless scaling strategies was assessed using temporal-spatial data collected from an anthropometrically diverse group of participants over a range of walking speeds. Video analysis of children (aged 4-15 years, mean = 10 years) and adults (18-40 years, mean = 25.2 years), each walking at their freely chosen speed, showed adults to take significantly longer strides than children at any given speed (predominately due to their longer lower limbs). Regression analysis of stride length versus walking speed showed that the slopes for adults and children were similar, but that the intercept was significantly higher in adults. Childrens' data were more scattered compared to those for adults. Plots of relative stride length (L') versus dimensionless speed (u') reduced intra-group variation and eliminated significant differences between adults and children, although subtle differences occurred between children of different ages. These findings support the use of dimensionless scaling in gait analysis, but care should be taken when using dimensionless numbers in relation to children under about 10 years of age due to ineffectiveness of scaling strategies in this group. Normalization for differences in stature using dimensionless scaling was also effective for participants walking at speeds significantly above or below their freely chosen (= 'most efficient') walking speed, suggesting a broad applicability for assessing participants who are unable to walk at their normal walking speed (e.g., participants with endoprostheses, osteoarthritis, or various musculoskeletal problems).
Keyword Fruode
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: 2010 Higher Education Research Data Collection
ERA 2012 Admin Only
School of Biomedical Sciences Publications
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Citation counts: TR Web of Science Citation Count  Cited 7 times in Thomson Reuters Web of Science Article | Citations
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Created: Thu, 03 Sep 2009, 18:18:40 EST by Mr Andrew Martlew on behalf of School of Biomedical Sciences