Comput Methods Biomech Biomed Engin
Department of Kinesiology and Health Sciences, University of Waterloo, Waterloo, Canada.
Published: June 2024
This study investigated whether modes of variance in trial-to-trial whole-body kinematic variability identified by principal component analysis (PCA) were consistent across data pre-processing conditions generated from a common dataset. Comparisons made included 1) when trajectory data was expressed in a global vs. local reference frame; 2) when the number of landmarks used to represent whole-body motion differed, and; 3) whether input trajectory data were normalized to participant stature. Varying data pre-processing conditions prior to PCA does not bias the total variance identified. However, it can influence how modes of variance are dispersed across PCs, which in turn, can influence interpretation.
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http://dx.doi.org/10.1080/10255842.2024.2367745 | DOI Listing |
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