Article

Three-dimensional (3-D) motion capture systems are commonly used for gait
analysis because they provide reliable and accurate measurements. However, the
downside of this approach is that it is expensive and requires technical
expertise; thus making it less feasible in the clinic.
To address this
limitation, we recently developed and validated (using a high-precision walking
robot) a low-cost, two-dimensional (2-D) real-time motion tracking approach using
a simple webcam and LabVIEW Vision Assistant. The purpose of this study was to
establish the repeatability and minimal detectable change values of hip and knee
sagittal plane gait kinematics recorded using this system. Twenty-one healthy
subjects underwent two kinematic assessments while walking on a treadmill at a
range of gait velocities. Intraclass correlation coefficients (ICC) and minimal
detectable change (MDC) values were calculated for commonly used hip and knee
kinematic parameters to demonstrate the reliability of the system. Additionally,
Bland-Altman plots were generated to examine the agreement between the
measurements recorded on two different days. The system demonstrated good to
excellent reliability (ICC>0.75) for all the gait parameters tested on this
study. The MDC values were typically low (<5 degrees ) for most of the
parameters. The Bland-Altman plots indicated that there was no systematic error
or bias in kinematic measurements and showed good agreement between measurements
obtained on two different days. These results indicate that kinematic gait
assessments using webcam technology can be reliably used for clinical and
research purposes.
CI - Copyright (c) 2017 Elsevier B.V. All rights reserved.

Langue : ANGLAIS