3D Gait Analysis (GA) is a tool that enables quantitative evaluation of posture and gait and helps to provide evidence of their variations from normality. Since it is non-invasive, it is possible to repeat the analysis many times in a short period. GA plays an important role in human movement analysis. Moreover, GA has been demonstrated to be very effective in the analysis of subjects affected by Cerebral Palsy (CP), in fact, using GA, it is possible to characterize each patient’s locomotory pattern [1], to define the most suitable treatment for the specific situation [2,3] and to evaluate the treatment outcome in a quantitative way [4].

Many data can be obtained from GA (temporal parameters, kinematic and kinetic data of lower limb extremities). Usually a study, such as the evaluation of a treatment’s outcome, involves first the calculation of many kinematic and kinetic parameters extracted from GA, then the analysis of each single parameter. Based on this univariate analysis, the first conclusions are drown. These univariate results are then synthesized to arrive at the global conclusions. This method, although effective, is not easy to understand and the results are not immediate, in particular for people who don’t work every day with GA and don’t have a lot of experience with GA.

For this reason, there is a clinical need to identify a single and concise index that is easy to use and to understand, but still preserves the efficacy and precision of locomotor pattern analysis and  treatment evaluation.

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Schutte et Al. [5] proposed a statistical method to calculate the amount by which a subject’s gait deviates from an average normal profile, and to represent this deviation as a single number. The method uses principal components analysis to derive a set of 16 independent variables from 16 selected gait variables [6]. This number was defined as the “Normalcy Index” (NI).

 

The aims of this study are: to implement NI calculation by an automatic procedure. The procedure must be easy to apply because it has to be widely utilized. The purpose of this precedure will be

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