@article{ref1,
title="Intra-session reliability of local dynamic stability of walking",
journal="Gait and posture",
year="2006",
author="Kang, Hyun G. and Dingwell, Jonathan B.",
volume="24",
number="3",
pages="386-390",
abstract="While local dynamic stability measures have been successfully used to characterize walking stability, they require long continuous walking data, which may be difficult to obtain from a clinical population. We investigated the amount of walking data necessary to obtain reliable measures of local dynamic stability. Twenty healthy adults walked on a motorized treadmill at their self-selected speed for three trials of 5 min each. Trunk motion was used to construct a 12-dimensional state space comprised of the linear and angular positions and velocities. Mean divergence of locally perturbed trajectories was calculated as a measure of local dynamic stability using the first 1-5 min of data from each trial. Exponential divergence rates were quantified. Divergence was also parameterized using a double-exponential function. Intra-class correlation coefficients ICC(2,1) were calculated for each divergence measure for each trial length. ICC(2, 1) values increased with trial length, and reached 0.5-0.9. Good reliability was obtained for short-term measures for trial lengths of 2 and 3 min, but 5 min was not adequate to estimate the long-term coefficients based on a single trial.<p /> <p>Language: en</p>",
language="en",
issn="0966-6362",
doi="10.1016/j.gaitpost.2005.11.004",
url="http://dx.doi.org/10.1016/j.gaitpost.2005.11.004"
}