Feature Selection Of Postural Summary Statistic
Scores Based On Principal Component Analysis
In Parkinson’s Disease
Author(s)
L. Rocchi, L. Chiari, A. Cappello & F. B. Horak
Abstract
The present study addresses the challenge of identifying the features of the centre
of pressure (CoP) trajectory that are most sensitive to postural performance, to
progress in the process of transforming CoP data into useful information and to
promote standardization in quantitative posturography. For this purpose, we
singled out the features that characterize postural sway in subjects with
Parkinson’s disease (PD) with and without levodopa (on and off states). The
feature selection was performed using principal component analysis. Results
suggest that CoP in subjects with PD can be primarily characterised by four
parameters, in both off and on states, describing: the size of the path over the
support surface; the principal sway direction; and the shape and bandwidth of the
power spectral density plot. The similarity of the present results with a previous
study that considered young healthy subjects, allows us to define more
confidently the minimum set of measures to recommend for specific applications
as optimal descriptor of CoP sway in quiet stance.
Keywords: principal component analysis, posture, Parkinson’s disease.
1 Introduction
Body posture is the output of complex interactions between central nervous
system control mechanisms and the musculo-skeletal actuators acting against the
support surface. Because of its complexity body posture is challenging to
Keywords
principal component analysis, posture, Parkinson’s disease.
Related Book
Other papers in this volume
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