Fundamentals of Chaos and Fractals for Cardiology

This textbook serves as an introduction to nonlinear dynamics and fractals for physiological modeling. Examples and demonstrations from current research in cardiopulmonary engineering and neuro-systems engineering are provided, as well as lab and computer exercises that encourage readers to apply th...

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Bibliographic Details
Main Author: Drzewiecki, Gary
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
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245 0 0 |a Fundamentals of Chaos and Fractals for Cardiology  |h Elektronische Ressource  |c by Gary Drzewiecki 
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260 |a Cham  |b Springer International Publishing  |c 2021, 2021 
300 |a XI, 138 p. 103 illus., 62 illus. in color  |b online resource 
505 0 |a Introduction -- Part 1 - Nonlinear Dynamics -- Topics in Nonlinear Biodynamics -- Bifurcation Mapping and Chaos -- Identifying Chaos -- Controlling Chaos -- Nonlinear Cardiology -- Part 2 –Fractals -- Fractal Geometry -- Fractal Time and Noise -- Biomedical Signal Analysis and Fractal Time -- Deterministic fractals -- Fractals and the Cardiovascular System -- Recurrence and the Embedding Dimension -- Part 3 – Applications -- Nonlinear Flow Dynamics and Chaos in a Flexible Vessel Model -- The origin of heart rate variation using a Nonlinear modeling approach -- Nonlinear Oscillator Circuit Model -- Index 
653 |a Biomedical engineering 
653 |a Mathematical and Computational Biology 
653 |a Dynamical Systems 
653 |a Biomathematics 
653 |a Biomedical Engineering and Bioengineering 
653 |a Biophysics 
653 |a Dynamical systems 
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520 |a This textbook serves as an introduction to nonlinear dynamics and fractals for physiological modeling. Examples and demonstrations from current research in cardiopulmonary engineering and neuro-systems engineering are provided, as well as lab and computer exercises that encourage readers to apply the course material. This is an ideal textbook for graduate students in biomedical engineering departments, researchers who analyze physiological data, and researchers interested in physiological modeling