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Nonlinear Analysis for Human Movement Variability (Hardcover)
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Nonlinear Analysis for Human Movement Variability (Hardcover)
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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.
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