Mieux comprendre l’A.Q.M.
Arnaud Gouelle, Linda Rennie, David J ClarkShow, Fabrice Mégrot, Chitralakshmi Balasubramanian Prior research has established the Gait Variability Index (GVI) as a composite measure of gait variability, based on spatiotemporal parameters, that is associated with functional outcomes. However, under certain circumstances the magnitude and directional specificity of the GVI is adversely affected by shortcomings in the calculation method. Here we present an enhanced gait variability index (EGVI) that addresses those shortcomings and improves the utility of the measure. The EGVI was further enhanced by removing some input spatiotemporal variables that captured overlapping/redundant information. The EGVI was used to reanalyze…
Hi, this is jsut to draw your attention to the extension of the abstract submission deadline for the 3D Analysis of Human Movement Symposium that we are hosting in Salford from 3rd to 6th July this year. We’ve got a really exciting line up of speakers and a particulalry attractive programme to support students. You […]
A small group of us are currently trying to tidy up certain aspects of the Conventional Gait Model (Newington, Helen Hayes, Davis, Kadaba, PiG, VCM) in such a way as to address a number of known problems but also preserves its strengths. We’ve had quite a bit of discussion about tibial torsion recently which flags a […]
The aim is to share the tools developed at the Hugh Williamson Gait Analysis Laboratory at The Royal Children’s Hospital Melbourne to process gait analysis data. https://www.researchgate.net/project/Processing-data-from-gait-analysis
What seems an awfully long time ago now (2003!), Jill Rodda and I gave a tutorial on the Conventional Gait Model (Davis, Newington, Helen Hayes, Kadaba, VCM, PiG – whatever you want to call it) to the Gait and Clinical Movement Analysis Society in Wilmington, Delaware. For it I prepared a CD-ROM (cover picture above) with […]
Just before the year closes I thought I’d give some notification of activities we’ll be hosting at Salford next year. CMAS Annual Scientific Meeting 6th and 7th April 2017 Keynote speakers: Thomas Dreher Andrew Ries (by video link) Nicola Fry Workshop on consistency of clinical intepretation Click here for more information 4th Salford […]
How do you ensure that staff going on maternity or paternity leave do not get deskilled during their period away from gait analysis? Here’s an idea to provide a regular knowledge update. The Verne mobile consists of 6 fully articulated Verne‘s allowing the user to set them in any desired pose. They are arranged in […]
Most biomechanical models used in gait analysis require an estimate of where the hip joint is within the pelvis. The quest for the best equations to do this has become something of a Holy Grail within the gait analysis community. Andriacchi et al. (1980) and Tylkowski (1982) were probably the first to propose methods for estimating […]
One of the aspects of gait analysis that I didn’t cover in any particular depth in my book was how to select data from a number of trials that is in someway representative of the patient. I think one of the reasons for this is because I couldn’t easily get my hands on any data […]
Gouelle A (1), Leroux J (2), Bredin J (3), Mégrot F (4)(5).
J Mot Behav. 2015 Sep 21:1-7.
The process of learning to walk is ongoing throughout childhood. The Gait Variability Index (GVI ; A. Gouelle et al., 2013) has been proposed to quantify the variability of spatiotemporal parameters (STP) during gait. The authors’ aim was to evaluate the GVI and STP of healthy children and teenagers to (a) determine changes in the GVI with age and to derive normal values in children and (b) to evaluate the influence of STP on the GVI. A total of 140 typically developing children from 1 to 17 years old were categorized into 7 groups of 20 based on age. Spatiotemporal gait parameters were recorded using an electronic walkway. GVI increased and STP changed with age. In the children-teenagers group, the GVI was positively related to step length, speed, and negatively to cadence. Following normalization by lower limb length, correlations were no longer significant. In contrast, raw base of support was not correlated with the GVI but normalized base of support was. A multiple linear regression showed that only age had a direct impact on the GVI, indicating that gait continues to change after 6-7 years. These changes were only demonstrated by the GVI, highlighting its usefulness for the evaluation of gait in young populations.