Citation

Josef C, Josef K, Hermann S. Gait Posture 2017; 55: 49-54.

Affiliation

Department of Sports Science and Kinesiology, University of Salzburg, Schlossallee 49, 5400 Hallein-Rif, Austria. Electronic address: hermann.schwameder@sbg.ac.at.

Copyright

(Copyright © 2017, Elsevier Publishing)

DOI

10.1016/j.gaitpost.2017.04.007

PMID

28411445

Abstract

Common summary measures of gait quality such as the Gait Profile Score (GPS) are based on the principle of measuring a distance from the mean pattern of a healthy reference group in a gait pattern vector space. The recently introduced Classifier Oriented Gait Score (COGS) is a pathology specific score that measures this distance in a unique direction, which is indicated by a linear classifier. This approach has potentially improved the discriminatory power to detect subtle changes in gait patterns but does not incorporate a profile of interpretable sub-scores like the GPS. The main aims of this study were to extend the COGS by decomposing it into interpretable sub-scores as realized in the GPS and to compare the discriminative power of the GPS and COGS. Two types of gait impairments were imitated to enable a high level of control of the gait patterns. Imitated impairments were realized by restricting knee extension and inducing leg length discrepancy. The results showed increased discriminatory power of the COGS for differentiating diverse levels of impairment. Comparison of the GPS and COGS sub-scores and their ability to indicate changes in specific variables supports the validity of both scores. The COGS is an overall measure of gait quality with increased power to detect subtle changes in gait patterns and might be well suited for tracing the effect of a therapeutic treatment over time. The newly introduced sub-scores improved the interpretability of the COGS, which is helpful for practical applications.

Copyright © 2017 Elsevier B.V. All rights reserved.

Language: en

Keywords

Gait; Imitation; Impairment; Pattern; Score