Functional Data Analysis in Biomechanics
A Concise Review of Core Techniques, Applications and Emerging Areas
Series: SpringerBriefs in Statistics;
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22 184 Ft
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Product details:
- Edition number 2024
- Publisher Springer Nature Switzerland
- Date of Publication 24 September 2024
- Number of Volumes 1 pieces, Book
- ISBN 9783031688614
- Binding Paperback
- No. of pages89 pages
- Size 235x155 mm
- Language English
- Illustrations X, 89 p. 35 illus., 30 illus. in color. Illustrations, black & white 590
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Long description:
This book provides a concise discussion of fundamental functional data analysis (FDA) techniques for analysing biomechanical data, along with an up-to-date review of their applications. The core of the book covers smoothing, registration, visualisation, functional principal components analysis and functional regression, framed in the context of the challenges posed by biomechanical data and accompanied by an extensive case study and reproducible examples using R. This book proposes future directions based on recently published methodological advancements in FDA and emerging sources of data in biomechanics. This is a vibrant research area, at the intersection of applied statistics, or more generally, data science, and biomechanics and human movement research. This book serves as both a contextual literature review of FDA applications in biomechanics and as an introduction to FDA techniques for applied researchers. In particular, it provides a valuable resource for biomechanics researchers seeking to broaden or deepen their FDA knowledge.
MoreTable of Contents:
- 1. Introduction.- 2. Preparing Biomechanical Data for Functional Data Analysis.- 3. Exploring Variation in Biomechanical Data.- 4. Functional Regression Models in Biomechanics.- 5. Case Study: The GaitRec Data.- 6. Future Directions of FDA in Biomechanics.
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