Author
G. V. B. Cochran
Bio: G. V. B. Cochran is an academic researcher from York University. The author has contributed to research in topics: Repeatability & Gait analysis. The author has an hindex of 4, co-authored 4 publications receiving 1602 citations.
Papers
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TL;DR: The results demonstrate that with the subjects walking at their natural or preferred spped, the gait variables are quite repeatable, and suggest that it may be reasonable to base significant clinical decisions on the results of a single gait evaluation.
1,415 citations
TL;DR: Results show that surface electrode data represent a more consistent measure of activity of superficial muscles, if comparisons are to be made between gait data from different test days, and were better for surface electrodes than wire electrodes, irrespective of the smoothing window.
179 citations
TL;DR: This study presents an application of principal component analysis as a means for representing graphic waveforms in a parsimonious manner and shows that the corresponding basis vectors span parts of the gait cycle where the most variability between individual subjects exists.
59 citations
TL;DR: It is demonstrated that cyclical loading can cause a device of this type to generate electrical charge while attached to bone, and direct currents within the range known to stimulate osteogenesis can be produced by weighed‐bearing loads.
33 citations
Cited by
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TL;DR: The results demonstrate that with the subjects walking at their natural or preferred spped, the gait variables are quite repeatable, and suggest that it may be reasonable to base significant clinical decisions on the results of a single gait evaluation.
1,415 citations
TL;DR: The literature reviewed shows that gait symmetry has often been assumed, to simplify data collection and analysis, and asymmetrical behavior of the lower limbs during able-bodied ambulation was addressed in numerous investigations and was found to reflect natural functional differences between the lower extremities.
921 citations
TL;DR: Evidence is provided that clinically acceptable errors are possible in gait analysis, andVariability between studies, however, suggests that they are not always achieved.
882 citations
TL;DR: The Foot Posture Index assessment is quick and simple to perform and allows a multiple segment, multiple plane evaluation that offers some advantages over existing clinical measures of foot posture.
788 citations
TL;DR: It is demonstrated that conventional models of gait generation fail to reproduce the observed scaling behavior and a new type of central pattern generator model is introduced that successfully accounts for the experimentally observed long-range correlations.
Abstract: Complex fluctuations of unknown origin appear in the normal gait pattern. These fluctuations might be described as being 1) uncorrelated white noise, 2) short-range correlations, or 3) long-range correlations with power-law scaling. To test these possibilities, the stride interval of 10 healthy young men was measured as they walked for 9 min at their usual rate. From these time series, we calculated scaling indexes by using a modified random walk analysis and power spectral analysis. Both indexes indicated the presence of long-range self-similar correlations extending over hundreds of steps; the stride interval at any time depended on the stride interval at remote previous times, and this dependence decayed in a scale-free (fractallike) power-law fashion. These scaling indexes were significantly different from those obtained after random shuffling of the original time series, indicating the importance of the sequential ordering of the stride interval. We demonstrate that conventional models of gait generation fail to reproduce the observed scaling behavior and introduce a new type of central pattern generator model that successfully accounts for the experimentally observed long-range correlations.
786 citations