Article

Gait analysis is used in daily clinics for patients' evaluation and follow-up.
Stereophotogrammetric devices are the most used tool to perform these analyses.
Although these devices are accurate results must be analyzed carefully due to
relatively poor reproducibility. One of the major issues is related to skin
displacement artifacts. Motion representation is recognized reliable for the main
plane of motion displacement, but secondary motions, or combined, are less
reliable because of the above artifacts. Model-based approach (MBA) combining
accurate joint kinematics and motion data was previously developed based on a
double-step registration method. This study presents an extensive validation of
this MBA method by comparing results with a conventional motion representation
model. Thirty five healthy subjects participated to this study. Gait motion data
were obtained from a stereophotogrammetric system. Plug-in Gait model (PiG) and
MBA were applied to raw data, results were then compared. Range-of-motion, were
computed for pelvis, hip, knee and ankle joints. Differences between PiG and MBA
were then computed. Paired-sample t-tests were used to compare both methods.
Normalized root-mean square errors were also computed. Shapes of the curves were
compared using coefficient of multiple correlations. The MBA and PiG approaches
shows similar results for the main plane of motion displacement but statistically
significative discrepancies appear for the combined motions. MBA appear to be
usable in applications (such as musculoskeletal modeling) requesting better
approximations of the joints-of-interest thanks to the integration of validated
joint mechanisms.
CI - Copyright (c) 2014 Elsevier B.V. All rights reserved.

Langue : ANGLAIS