Article

The Gait Deviation Index (GDI) has been proposed as an index of overall gait
pathology. This study proposes an interpretation of the difference measure upon
which the GDI is based, which naturally leads to the definition of a similar index, the Gait Profile Score (GPS). The GPS can be calculated independently of
the feature analysis upon which the GDI is based. Understanding what the
underlying difference measure represents also suggests that reporting a raw
score, as the GPS does, may have advantages over the logarithmic transformation
and z-scaling incorporated in the GDI. It also leads to the concept of a Movement
Analysis Profile (MAP) to summarise much of the information contained within
kinematic data. A validation study on all children attending a paediatric gait
analysis service over 3 years (407 children) provides evidence to support the use
of the GPS through analysis of its frequency distribution across different Gross
Motor Function Classification System (GMFCS) and Gillette Functional Assessment
Questionnaire (FAQ) categories, investigation of intra-session variability, and
correlation with the square root of GGI. Correlation with GDI confirms the strong
relationship between the two measures. The study concludes that GDI and GPS are
alternative and closely related measures. The GDI has prior art and is
particularly useful in applications arising out of feature analysis such as
cluster analysis or subject matching. The GPS will be easier to calculate for new
models where a large reference dataset is not available and in association with
applications using the MAP.

Langue : ANGLAIS