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Functional data analysis in biomechanicsa concise review of core techniques, applications and emerging areas /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Functional data analysis in biomechanicsby Edward Gunning ... [et al.].
Reminder of title:	a concise review of core techniques, applications and emerging areas /
other author:	Gunning, Edward.
Published:	Cham :Springer Nature Switzerland :2024.
Description:	x, 89 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Biomechanics.
Online resource:	https://doi.org/10.1007/978-3-031-68862-1
ISBN:	9783031688621$q(electronic bk.)

Functional data analysis in biomechanicsa concise review of core techniques, applications and emerging areas /
Functional data analysis in biomechanicsa concise review of core techniques, applications and emerging areas /[electronic resource] :by Edward Gunning ... [et al.]. - Cham :Springer Nature Switzerland :2024. - x, 89 p. :ill. (some col.), digital ;24 cm. - SpringerBriefs in statistics,2191-5458. - SpringerBriefs in statistics..

- 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.

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.

ISBN: 9783031688621$q(electronic bk.)

Standard No.: 10.1007/978-3-031-68862-1doiSubjects--Topical Terms:

188942
Biomechanics.

LC Class. No.: QH513

Dewey Class. No.: 571.43

Functional data analysis in biomechanicsa concise review of core techniques, applications and emerging areas /
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520 $a 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.
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