Significance of Principal Component Analysis (PCA) in characterization of gait pattern in parkinsonian patients
C Holzhoffer, J Bürmann, Y Johann, S Bechtel, AK Louis, T Heider, K Fassbender, U Dillmann · Klinische Neurophysiologie · 2010 · Heft 03
Bibliografische Angaben
Zusammenfassung
Introduction: PCA of parameters of gait pattern is a mathematic tool to reduce the redundant information from these parameters. In addition it is a powerful instrument to identify pathological gait pattern. Aim of our study was to analyse the significance of PCA in parkinsonian gait. Material and Methods: We analysed gait pattern during walking on a tread mill in 21 parkinsonian patients and 16 healthy controls using a system of Zebris Medical GmbH. The measurement included 3 different gait velocities (individual normal – slow – fast). Range of movements of the following joints were analysed: shoulder/upper arm…
