Nonlinear Analysis for Human Movement Variability

Nicholas Stergiou

January 26, 2016 by CRC Press
Textbook - 394 Pages - 228 B/W Illustrations
ISBN 9781498703321 - CAT# K24657


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  • Presents a different approach to study human movement variability that will be based on the temporal structure of variability or, in other words, how movement changes over time
  • Focuses on human movement variability, to which there is no other textbook currently on the market
  • Provides detailed and accessible explanations of the methods used in nonlinear analyses of human movement
  • Includes end-of-chapter exercises (at least 80), examples throughout the book, case studies (20), and MATLAB code


How Does the Body’s Motor Control System Deal with Repetition?

While the presence of nonlinear dynamics can be explained and understood, it is difficult to be measured. A study of human movement variability with a focus on nonlinear dynamics, Nonlinear Analysis for Human Movement Variability, examines the characteristics of human movement within this framework, explores human movement in repetition, and explains how and why we analyze human movement data. It takes an in-depth look into the nonlinear dynamics of systems within and around us, investigates the temporal structure of variability, and discusses the properties of chaos and fractals as they relate to human movement.

Providing a foundation for the use of nonlinear analysis and the study of movement variability in practice, the book describes the nonlinear dynamical features found in complex biological and physical systems, and introduces key concepts that help determine and identify patterns within the fluctuations of data that are repeated over time. It presents commonly used methods and novel approaches to movement analysis that reveal intriguing properties of the motor control system and introduce new ways of thinking about variability, adaptability, health, and motor learning.

In addition, this text:

  • Demonstrates how nonlinear measures can be used in a variety of different tasks and populations
  • Presents a wide variety of nonlinear tools such as the Lyapunov exponent, surrogation, entropy, and fractal analysis
  • Includes examples from research on how nonlinear analysis can be used to understand real-world applications
  • Provides numerous case studies in postural control, gait, motor control, and motor development

Nonlinear Analysis for Human Movement Variability advances the field of human movement variability research by dissecting human movement and studying the role of movement variability. The book proposes new ways to use nonlinear analysis and investigate the temporal structure of variability, and enables engineers, movement scientists, clinicians, and those in related disciplines to effectively apply nonlinear analysis in practice.