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Fundamentals of Chaos and Fractals for Cardiology

Autor Gary Drzewiecki
en Limba Engleză Paperback – 13 dec 2022
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.
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Specificații

ISBN-13: 9783030889708
ISBN-10: 303088970X
Pagini: 138
Ilustrații: XI, 138 p. 103 illus., 62 illus. in color.
Dimensiuni: 155 x 235 mm
Greutate: 0.23 kg
Ediția:1st ed. 2021
Editura: Springer International Publishing
Colecția Springer
Locul publicării:Cham, Switzerland

Cuprins

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.


Notă biografică

Gary Drzewiecki is a Biomedical Engineering Professor at Rutgers University.

Textul de pe ultima copertă

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.

Caracteristici

Offers a solid foundation in computational biology for graduate students in biomedical engineering programs Provides a “primer" to those interested in applying nonlinear dynamics to their research Includes current applications in cardiovascular dynamics