A simple approach to guide factor retention decisions when applying principal component analysis to biomechanical data.

@article{Fischer2014ASA,
  title={A simple approach to guide factor retention decisions when applying principal component analysis to biomechanical data.},
  author={Steven L. Fischer and Robin H Hampton and Wayne J. Albert},
  journal={Computer methods in biomechanics and biomedical engineering},
  year={2014},
  volume={17 3},
  pages={199-203}
}
The use of principal component analysis (PCA) as a multivariate statistical approach to reduce complex biomechanical data-sets is growing. With its increased application in biomechanics, there has been a concurrent divergence in the use of criteria to determine how much the data is reduced (i.e. how many principal factors are retained). This short communication presents power equations to support the use of a parallel analysis (PA) criterion as a quantitative and transparent method for… CONTINUE READING

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Applying a principal component analysis to movement

  • K Witte, N Ganter, C Baumgart, C. Peham
  • 2010
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