Nonlinear Analysis for Human Movement Variability （2ND）

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Nonlinear Analysis for Human Movement Variability （2ND）

Stergiou, Nicholas (EDT)/ Likens, Aaron D. (EDT)

ウェブストア価格 ¥27,535（本体¥25,032）
CRC Press（2026/08発売）
外貨定価 US$ 126.99
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ポイント 1,250pt

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製本 Hardcover:ハードカバー版／ページ数 472 p.
言語 ENG
商品コード 9781032495828

Full Description

Human movement variability can be defined as the typical variations that are present in motor performance and are observed across multiple repetitions of a task. This variability is inherent within all biological systems. It can also be observed easily as it is almost impossible for an individual to perform, even an elite performer, two identical actions of the same task. Nonlinear Analysis for Human Movement Variability, Second edition presents a different approach to studying human movement variability, based on the temporal structure of variability, that is how movement changes over time despite repetitive tasks.

Featuring nine new chapters and 30 case studies, this second edition investigates human movement patterns and how these impact our daily lives. It goes beyond the basics, while maintaining a simple and approachable style and it has been fully updated with the latest findings from the research, focusing heavily on methodological developments and inclusion of examples from literature. New topics covered include recurrence quantification analysis, multifractal analysis, fractal correlation and regression and multiscale probability distribution functions plus much more. New MATLAB code and datasets will be generated to accompany each chapter to facilitate teaching and learning. The reader will gather a thorough and detailed analysis and evaluation of how to measure human movement variability.

This book will be an ideal purchase for any student engineer interested in understanding human movement variability including those in the fields of biomedical, industrial, and mechanical engineering. Its appeal will extend to ergonomists, clinicians, practitioners and physiologists too.

This title also features PowerPoint slides and additional MATLAB data for instructors to use in their classroom to enhance learning.

1. Introduction. 2. Time Series. 3. State Space Reconstruction. 4. Lyapunov Exponent. 5. An Introduction to Recurrence Quantification Analysis for Movement Scientists. 6. Surrogation. 7. Autocorrelation Function, Mutual Information, and Correlation Dimension. 8. Movement is Rough and Irregular: An Introduction to Fractal Analysis. 9. Multifractal analysis: A window on the nonlinear release/constraint of degrees of freedom. 10. Multiscale probability density function analysis. 11. Fractal Methods of Association. 12. Measuring Complexity: A Guided Tour of Information Focused Univariate Time Series Methods. 13. Time-Frequency Analysis of Human Movement. 14. Symbolic Regression: A Tool for Discovering Equations of Human Movement Dynamics.