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Abstract
A method is derived 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 component analysis to derive a set of 16 independent variables
from 16 selected gait variables. The sum of the square of these 16 independent variables
is interpreted as the deviation of the subject's gait from normal. Statistical tests
of the method's validity and an initial demonstration of its clinical utility are
included. It is found that using this index, increasing clinical involvement corresponds
to increasing index score.