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Nonlinear Dynamics in Physiology: A State-space Approach
 
 
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Nonlinear Dynamics in Physiology: A State-space Approach [Hardcover]

Mark Shelhamer (Author)

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Book Description

9812700293 978-9812700292 December 6, 2006
This book provides a compilation of mathematical-computational tools that are used to analyze experimental data. The techniques presented are those that have been most widely and successfully applied to the analysis of physiological systems, and address issues such as randomness, determinism, dimension, and nonlinearity. In addition to bringing together the most useful methods, sufficient mathematical background is provided to enable non-specialists to understand and apply the computational techniques. Thus, the material will be useful to life-science investigators on several levels, from physiologists to bioengineer.

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Most chapters discuss early apparent success in detecting signs of low-dimensional nonlinear dynamics. -- Mathematical Reviews

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Inside This Book (learn more)
Key Phrases - Statistically Improbable Phrases (SIPs): (learn more)
mutual forecasting, optokinetic nystagmus eye movements, shuffle surrogate, percent determinism, imminent fibrillation, generalized synchrony, surrogate data techniques, recurrence plot, recurrence quantification analysis, false nearest neighbors, forecasting quality, nonlinear forecasting, surrogate data sets, attractor reconstruction, recurrence matrix, correlation dimension, entire attractor, increasing embedding dimension, reconstructed attractor, trajectory matrix, scaling region, dimension computations, unidirectional coupling, attractor reconstructed, correlation integral
Key Phrases - Capitalized Phrases (CAPs): (learn more)
Physical Review, New York, Biological Cybernetics, Physics Letters, Biomedical Engineering, John Wiley, International Journal of Psychophysiology, Cambridge University Press, Human Movement Science, Journal of Applied Physiology, Journal of Motor Behavior, American Heart Journal, American Institute of Physics, Analysis of Observed Chaotic Data, Biological Psychiatry, Biophysical Journal, Englewood Cliffs, Experimental Brain Research, Fractal Physiology, Institute of Physics Publishing, Journal of Clinical Neurophysiology, Journal of Neuroscience Methods, Lopes da Silva, Plenum Press, Prentice Hall
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