Article

Estimating the measurement error (reliability) of three
dimensional gait analysis (3DGA) is crucial to interpretation of gait data. The purpose of this study was to investigate the intra-rater reliability of 3DGA and
apply a novel method of visualising reliability of gait cycle waveforms. METHODS:
A test re-test design was employed. A convenience sample of 30 healthy adults
(18F; 12 M: mean age 30 +/- 6.8 years) participated. Subjects walked along a 10 m
walkway at their preferred gait speed and 3DGA data were collected using a
VICON((R)) 3DGA system. Testing was performed by the same investigator on two
separate days within two weeks. Data from 10 trials were averaged and analysed.
ANALYSIS: The intraclass correlation coefficient (ICC), the standard error of
measurement (SEM), minimal detectable change (MDC) and limits of agreement were
calculated for kinetic and kinematic data. Bland and Altman plots were applied to
gait cycle waveforms. RESULTS: Spatio-temporal parameters such as cadence, step
length, velocity, step time and step width were highly repeatable generating
ICC's of 0.90 and above and low SEM/MDC. Range of joint movement across the gait
cycle was generally more reliable than either minimum or maximum values and
higher ICCs were obtained for movement in the sagittal plane. For kinematic data
the standard error of measurement was low (</= 5) for the majority of parameters.
Transverse plane measurements showed poor reliability with lowest ICC's. ICCs for
kinetic data ranged from 0.51 to 0.81. CONCLUSIONS: Reliability of 3DGA has been
estimated for our gait laboratory. Bland and Altman plots of gait cycle waveforms
provide a useful addition to reliability analysis.
CI - Copyright (c) 2013 Elsevier B.V. All rights reserved.

Langue : ANGLAIS