Academic Journal

PCA of waveforms and functional PCA: A primer for biomechanics.

التفاصيل البيبلوغرافية
العنوان: PCA of waveforms and functional PCA: A primer for biomechanics.
المؤلفون: Warmenhoven, J, Bargary, N, Liebl, D, Harrison, A, Robinson, MA, Gunning, E, Hooker, G
بيانات النشر: Elsevier
سنة النشر: 2020
المجموعة: Liverpool John Moores University: LJMU Research Online
مصطلحات موضوعية: RC1200 Sports Medicine
الوصف: Principal components analysis (PCA) of waveforms and functional PCA (fPCA) are statistical approaches used to explore patterns of variability in biomechanical curve data, with fPCA being an accepted statistical method grounded within the functional data analysis (FDA) statistical framework. This technical note demonstrates that PCA of waveforms is the most rudimentary form of FDA, and consequently can be rationalised within the FDA framework of statistical processes. Mathematical proofing applied demonstrations of both techniques, and an example of when fPCA may be of greater benefit to control over smoothing of functional principal components is provided using an open access motion sickness dataset. Finally, open access software is provided with this paper as means of priming the biomechanics community for using these methods as a part of future functional data explorations.
نوع الوثيقة: article in journal/newspaper
وصف الملف: text
اللغة: English
Relation: https://researchonline.ljmu.ac.uk/id/eprint/14271/1/Warmenhoven%202021.pdf; Warmenhoven, J, Bargary, N, Liebl, D, Harrison, A, Robinson, MA, Gunning, E and Hooker, G (2020) PCA of waveforms and functional PCA: A primer for biomechanics. Journal of Biomechanics, 116. ISSN 1873-2380
DOI: 10.1016/j.jbiomech.2020.110106
الاتاحة: http://researchonline.ljmu.ac.uk/id/eprint/14271/
https://researchonline.ljmu.ac.uk/id/eprint/14271/1/Warmenhoven%202021.pdf
https://doi.org/10.1016/j.jbiomech.2020.110106
Rights: cc_by_nc_nd
رقم الانضمام: edsbas.F74F4CC7
قاعدة البيانات: BASE
الوصف
DOI:10.1016/j.jbiomech.2020.110106