Functional Data Analysis in Biomechanics: A Concise Review of Core Techniques, Applications and Emerging Areas
暫譯: 生物力學中的功能數據分析：核心技術、應用及新興領域的簡明回顧

Gunning, Edward, Warmenhoven, John, Harrison, Andrew J.

Functional Data Analysis in Biomechanics: A Concise Review of Core Techniques, Applications and Emerging Areas
  • 出版商: Springer
  • 出版日期: 2024-09-24
  • 售價: $2,270
  • 貴賓價: 9.5 折 $2,157
  • 語言: 英文
  • 頁數: 89
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 3031688619
  • ISBN-13: 9783031688614
  • 相關分類: Data Science

    • 海外代購書籍(需單獨結帳)

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商品描述

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.

商品描述(中文翻譯)

本書簡明地討論了基本的功能性數據分析（Functional Data Analysis, FDA）技術，用於分析生物力學數據，並提供了其應用的最新回顧。書中的核心內容涵蓋平滑、配準、可視化、功能主成分分析和功能回歸，這些內容都在生物力學數據所帶來的挑戰背景下進行框架化，並附有廣泛的案例研究和使用 R 語言的可重現範例。本書根據最近發表的 FDA 方法學進展和生物力學中新興數據來源，提出了未來的研究方向。這是一個充滿活力的研究領域，位於應用統計學（或更廣泛的數據科學）與生物力學和人類運動研究的交叉點。本書既是生物力學中 FDA 應用的背景文獻回顧，也是應用研究者了解 FDA 技術的入門書籍。特別是，它為希望擴展或深化其 FDA 知識的生物力學研究者提供了寶貴的資源。

作者簡介

Edward Gunning is a Postdoctoral Researcher in Biostatistics at the Perelman School of Medicine, University of Pennsylvania, Philadelphia, USA. He obtained his PhD in Statistics at the Science Foundation Ireland Centre for Research Training in Foundations of Data Science, based in the University of Limerick. His PhD research concerned the application and development of techniques to analyse multivariate functional data that arise in sports biomechanics. His current work is focused on the development of new functional data analysis methodology for biomedical research.

John Warmenhoven is a Lecturer in Sports Data-Science at the School of Sport, Exercise and Rehabilitation, University of Technology Sydney (UTS), in Australia. He was previously a research fellow in sports meta-science at UTS, and also a Data Science Fellow at the University of New South Wales in Canberra. He has worked across both biomechanics and data-science domains, and was a previous recipient of the ISBS New Investigator Award and Hans Gros Emerging Researcher Award, both received for integrating Functional Data Analysis methods into applied sports biomechanics research.

Andrew (Drew) J. Harrison is an Emeritus Professor of sport and exercise biomechanics in the Department of Physical Education & Sport Sciences at University of Limerick, Ireland. He established and co-directed the Sport and Human Performance Research Centre and the Biomechanics Research Unit at the University of Limerick. He was President of the International Society of Biomechanics in Sport (ISBS) and a recipient of the ISBS Geoffrey Dyson Award in 2014. He has over 20 years of experience in applying functional data analysis techniques in sport and exercise biomechanics research.

Norma Bargary is a Professor of Data Science & Statistical Learning at the Department of Mathematics & Statistics and Director of the Mathematics Applications Consortium for Science and Industry (MACSI) Research Centre, University of Limerick, Ireland. Her primary area of expertise is developing new statistical approaches for modelling functional data from complex systems. In particular, she has 20 years of experience collaborating with biomechanics and sports science researchers and practitioners, developing and applying functional data analysis methods in these fields. She also leads statistical research programmes across Centres of Excellence such as Insight Centre for Data Analytics, the Solid State Pharmaceutical Centre, and Confirm Centre for Smart Manufacturing.

作者簡介(中文翻譯)

愛德華·甘寧是美國賓夕法尼亞大學佩雷爾曼醫學院的生物統計學博士後研究員。他在愛爾蘭利默里克大學的數據科學基礎研究訓練中心獲得統計學博士學位。他的博士研究涉及應用和開發分析運動生物力學中出現的多變量功能數據的技術。他目前的工作專注於為生物醫學研究開發新的功能數據分析方法。

約翰·瓦門霍芬是澳大利亞悉尼科技大學（UTS）運動、運動與康復學院的運動數據科學講師。他曾在UTS擔任運動元科學的研究員，並且是堪培拉新南威爾士大學的數據科學研究員。他在生物力學和數據科學領域都有工作經驗，並曾獲得ISBS新研究者獎和漢斯·格羅斯新興研究者獎，這兩項獎項均是因為將功能數據分析方法整合到應用運動生物力學研究中而獲得的。

安德魯（德魯）·哈里森是愛爾蘭利默里克大學體育與運動科學系的運動與運動生物力學名譽教授。他創立並共同指導了利默里克大學的運動與人類表現研究中心和生物力學研究單位。他曾擔任國際運動生物力學學會（ISBS）會長，並於2014年獲得ISBS喬治·戴森獎。他在運動與運動生物力學研究中應用功能數據分析技術方面擁有超過20年的經驗。

諾瑪·巴爾加里是愛爾蘭利默里克大學數學與統計系的數據科學與統計學習教授，並擔任數學應用科學與工業聯盟（MACSI）研究中心的主任。她的主要專業領域是為複雜系統的功能數據建模開發新的統計方法。特別是，她在與生物力學和運動科學研究人員及實踐者合作方面擁有20年的經驗，並在這些領域開發和應用功能數據分析方法。她還領導跨越卓越中心的統計研究計劃，如數據分析洞察中心、固態製藥中心和智能製造確認中心。

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