Physiological Control Systems: Analysis, Simulation, and Estimation (IEEE Press Series on Biomedical Engineering)

Book Description

Many recently improved medical diagnostic techniques and therapeutic innovations have resulted from physiological systems modeling. This comprehensive book will help undergraduate and graduate students and biomedical scientists to gain a better understanding of how the principles of control theory, systems analysis, and model identification are used in physiological regulation. Ample Simulink? and MATLAB? examples throughout the text and posted at an IEEE FTP site will provide you with a hands-on approach for exploring modeling and analysis of biological control systems.

You will learn about classical control theory and its application to physiological systems, and contemporary topics and methodologies shaping bioengineering research today. Discussions on the latest developments in system identification, optimal control, and nonlinear dynamical analysis will keep you up-to-date with recent bioengineering advances. From modeling and stability analysis to feedback control in physiological regulatory mechanisms, Physiological Control Systems provides an in-depth study of key bioengineering principles that is simply unmatched in the field.

An Instructor Support FTP site is available from the Wiley editorial department: ftp://ftp.ieee.org/uploads/press/hoo

Customer Reviews:

Control Systems from 10,000 feet with a near useless index.......2004-06-07

I have been using this text for a class in Physiological Control Systems, but have been largely disappointed. One of my disappointing experiences is on p. 170-1, where Khoo shows how to get an RLC model transfer function out of MATLAB's ss(). Since the MATLAB documentation on ss() is skimpy, this is a place where Khoo could have added value, illuminating what the A, B, C, and D matrices represent to ss(), but Khoo simply brushes past the opportunity. Khoo also discusses bifurcation in the logistic map, but if you look for 'logistic' in the index, you won't find it. Khoo mentions Fitzhugh-Nagumo and Hodgkin-Huxley within the context of his section on Bonhoeffer-van der Pol, but those four authors are not in the index (Bonhoeffer and van der Pol are). I admit to not having made a comprehensive study of the MATLAB examples, but I downloaded his code for sensitivity analysis (sensanl.m and two supporting .m files) mentioned in section 7.3.2, and consider the code to be poorly written. If I didn't have Dorf & Bishop's "Modern Control Systems, 9th Edition" to fall back on, I would have been in dire straights getting anything beyond a cursory reading out of Khoo's text. In short, this book should command a price in the $50 to $60 range, not the stellar $110-120 its priced at. Dorf & Bishop is priced about the same and delivers three times the value that Khoo does. Every chapter where I made an effort to get to the bottom of some discussion, I found Khoo's exposition wanting. The index is exasperatingly useless. There are only two entries under 'H', one under 'K', one under 'W', etc. That's alarming for a book with 307 pages.

Average customer rating:

Poor explanations
this is the book about systems biology!!!
All of it fascinating....
Graduate level Mathematical Physiology text

Mathematical Physiology
James Keener , and James Sneyd
Manufacturer: Springer
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Mathematical Biology II
Computational Cell Biology
Mathematical Models in Biology (Classics in Applied Mathematics)
Modeling and Simulation in Medicine and the Life Sciences
Essential Mathematical Biology

Accessories:

Reviews of Physiology, Biochemistry and Pharmacology, Vol. 157 (Reviews of Physiology, Biochemistry, and Pharmacology)
Regulatory Mechanisms of Striated Muscle Contraction (Advances in Experimental Medicine and Biology)
Biophysics

ASIN: 0387983813

Book Description

Mathematical Physiology provides an introduction into physiology using the tools and perspectives of mathematical modeling and analysis. It describes ways in which mathematical theory may be used to give insights into physiological questions and how physiological questions can in turn lead to new mathematical problems.
The book is divided in two parts, the first dealing with the fundamental principles of cell physiology, and the second with the physiology of systems. In the first part, after an introduction to basic biochemistry and enzyme reactions, the authors discuss volume control, the membrane potential, ionic flow through channels, excitability, calcium dynamics, and electrical bursting. This first part concludes with spatial aspects such as synaptic transmission, gap junctions, the linear cable equation, nonlinear wave propagation in neurons, and calcium waves. In the second part, the human body is studied piece by piece, beginning with an introduction to electrocardiology, followed by the physiology of the circulatory system, blood muscle, hormones, and kindeys. Finally, the authors examine the digestive system and the visual system, ending with the inner ear. This book will be of interest to researchers, to graduate students and advanced undergraduate students in applied mathematics who wish to learn how to build and analyze mathematical models and become familiar with new areas of applications, as well as to physiologists interested in learning about theoretical approaches to their work.

Mathematical Reviews, 2000: "This is neither a physiology book nor a mathematics book, but it is probably the best book ever written on the interdisciplinary field of mathematical physiology, i.e. mathematics applied to modelling physiological phenomena. The book is highly recommended to anybody interested in mathematical or theoretical physiology."

Customer Reviews:

Poor explanations.......2007-01-15

I used this book in a graduate school course. I found myself checking out other mathematical physiology books to understand what they were talking about. There's poor explanations, and they skip certain steps that would help the reader get a better understanding of what's going on. Save your money and skip this book.

this is the book about systems biology!!!.......2005-09-24

If you would like to delve into the true complexity of systems biology (physiology), get this book. It's even much better than computational cell biology book by JJ Tyson et al since it's described in depth. But I'd rephrase Tyson's comment: "The regulatory system is so complex that it defies understanding by verbal arguments alone."

All of it fascinating...........2001-05-23

This book is an excellent overview of the major research into the mathematics of physiological processes. The first part of the book covers cellular physiology beginning with a discussion of biochemical reactions in the first chapter. Some of the applications of dynamical systems are nicely illustrated here, especially bifurcation theory.

Applications of the diffusion equation follow in the next chapter on cellular homeostasis. The Nernst-Planck electrodiffusion equation is discussed but not derived, and is solved in the constant field approximation.

This is complicated somewthat in the next chapter on membrane ion channels, where the potential across the membrane is not assumed to have a constant gradient. There is a discussion of channel blocking drugs in the last section, but unfortunately it is too short. This is an important area of application, with the experimental validation of the mathematical results of upmost importance.

The Hodgkin-Huxley and the FitzHugh-Nagumo equations dominate the next chapter on electrical signaling in cells. The phase space analysis of these models is discussed, along with an interesting treatment of the excitability of cardiac cells in the Appendix of the chapter.

A very well-written treatment, along with helpful diagrams, of calcium dynamics is given in Chapter 5. The authors show how ignoring the fast variables and transients lead one to a solution of they dynamical problem of the receptor model.

Phase space analysis is used extensively in the next chapter on electrical bursting, with emphasis on bursting in pancreatic beta-cells. An interesting discussion on the classification of bursting oscillations is given purely in terms of bifurcation theory.

That synaptic transimission is quantal in nature is one of the topics of the next chapter on intercellular communication. This is the first time in the book that probabilistic methods are introduced into the modeling. The authors quote some very old references on the experimental verification of the quantal model, leaving the reader wondering if more modern experiments have been done. In calculating the effective diffusion coefficients, the authors introduce the technique of homogenization, and give a explanation of the rationale behind the technique. The strategy of determining the behavior at a particular scale without solving completely the details at a finer scale is one that has proven to be quite productive, especially in physics.

The use of partial differential equations is increased in the next chapter on electrical flow in neurons, with the linear cable equation playing the dominant role. The authors use transform methods to obtain the solutions in the main text and exercises, giving references for the reader not familiar with these techniques.

The nonlinear cable equation is the subject of the next chapter, with traveling waves solutions of the bistable equation given the main emphasis. Shooting methods are employed in the solution of this equation, and the authors also treat the more difficult case of the discrete bistable equation.

Wave propagation in higher dimensions is the subject of the next chapter, with spiral waves discussed along with a brief discussion of scroll waves.

The fascinating subject of cardiac propagation is the subject of Chapter 11. The mathematical techniques are not much more complicated, but mathematicians coming to cardiac biology for the first time will need to pay attention to the details. One of the most interesting subjects of the book is treated in Chapter 13 on cell function regulation. Mathematical models of the G1 and G2 checkpoint processes are given.

Part two of the book emphasizes the mathematical modeling of the biological systems, rather than at the cellular level. This part begins with a consideration of how cellular activity can be coordinated to produce a regular heartbeat and how failure can occur. Interestingly, a Schrodinger-like equation appears when linearizing the FitzHugh-Nagumo equations for oscillating cells. And, interestingly, dynamical systems via circle maps appear in the model of the AV modal signal. This is followed by a lengthy and fascinating discussion of the mathematics of the circulatory system. Unfortunately, the discussion on the dangers of high blood pressure is not justified by any mathematical models in the book. It would have been very interesting to see a model developed that would predict the effects of hypertension on the heart, kidneys, etc and one that would be compared with historical and clinical data.

The next chapters discuss physiology of the blood, respiration, and muscles. A very interesting discussion of hormone physiology and mammal ovulation is given. The mathematical models of the kidneys and gastrointestinal systems are very detailed and very enlightening for individuals not in these fields.

The book ends with chapters on the physiology of sight and hearing. The discussion of the light reflex mechanism is very interesting as the authors use linear stability analysis. The oscillations of the basilar membrane in the inner ear are good reading for the physicist.

This book would be of great interest to mathematicians who are entering the field of computational physiology or computational biologists who need an understanding of the modeling required. Very captivating reading........

Graduate level Mathematical Physiology text.......2000-04-12

This is a very good graduate level text on mathematical physiology. It covers a broad range of topics from cardiac electrophysiology to the cell cycle. The authors have written the closest thing to a mathematical version of Guyton's Human Physiology text that I have seen. The prospective reader of this text should be aware that it assumes a background in PDE ,ODE, and asymptotics, as well as introductory molecular Biology. The structure of DNA, RNA, and the central dogma DNA to RNA to Protein are described in less than 3 pages without diagrams. Terms from Biochemistry are used at times without definition or explanation. Each Chapter concludes with a very nice collection of interesting problems. Supplement the text with the outstanding elementary text by Leah - Edelstein - Keshet , lecture notes by C. Peskin ,the applied math texts by Keener and Cole, Molecular biology texts by Lodish et al or Baltimore et al ,and of course Guyton's Human Physiology for a fascinating introduction to mathematical biology with an emphasis on differential equation models in physiology.

Average customer rating:

Good Book
A classic text in the field of bioengineering.

Bioelectricity: A Quantitative Approach

Manufacturer: Springer
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Applied Bioelectricity: From Electrical Stimulation to Electropathology
Medical Instrumentation: Application and Design
LabVIEW 8 Student Edition
Bioelectromagnetism: Principles and Applications of Bioelectric and Biomagnetic Fields
Engineering by Design (2nd Edition)

Accessories:

Handbook of Neurochemistry and Molecular Neurobiology (Springer Reference)
Genetic Control of Neuronal Migrations in Human Cortical Development (Advances in Anatomy, Embryology and Cell Biology)
The Evolving Brain: The Mind and the Neural Control of Behavior

ASIN: 0306462354

Book Description

In the first edition of Bioelectricity, Plonsey and Barr provided an introduction to electrophysiology following a quantitative approach. In this second edition they address new discoveries in the field of ion channels. The text is an introduction to electrophysiology utilizing a quantitative approach. It describes the principles of electrical fields, using basic principles from science and engineering while taking the biological applications into consideration. The book thus provides an introduction to the quantitative description of underlying electrophysiology with illustrative application to cardiac electrophysiology and functional electrical stimulation. The book can be used as a bridge to more advanced texts, particularly those that stress a quantitative approach.

Customer Reviews:

Good Book.......2006-04-01

This book is next only to "From Neuron to Brain" to understand Neuroscience Basics. It covers a bunch of other topics other than Neuroscience. Worth a reading!

A classic text in the field of bioengineering........1996-12-19

Begins with the necessary physics and vector calculus. Steps logically and clearly through the physics of diffusing ions in solution separated by membranes. Presents classic Hodgkin-Huxley formulation and develops analytic and computer models of excitable axon. Covers basics of ECG and heart vector rotation. All exercises in the book focus on extension of topics and experimentation. Written for the engineer/scientist at the senior undergrad level.

Van der Waals Forces: A Handbook for Biologists, Chemists, Engineers, and Physicists

Average customer rating:

Teaching and Research and Van der Waals forces
Every science library should have two copies of this book.

Van der Waals Forces: A Handbook for Biologists, Chemists, Engineers, and Physicists
V. Adrian Parsegian
Manufacturer: Cambridge University Press
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Capillarity and Wetting Phenomena: Drops, Bubbles, Pearls, Waves
Intermolecular and Surface Forces, Second Edition: With Applications to Colloidal and Biological Systems (Colloid Science)
Molecular and Cellular Biophysics
Molecular Theory of Capillarity
Statistical Thermodynamics of Surfaces, Interfaces, and Membranes

ASIN: 0521547784

Book Description

This should prove to be the definitive work explaining van der Waals forces, how to calculate them and take account of their impact under any circumstances and conditions. These weak intermolecular forces are of truly pervasive impact, and biologists, chemists, physicists, and engineers will profit greatly from the thorough grounding in these fundamental forces. Parsegian has organized his book at three successive levels of mathematical sophistication, to satisfy the needs and interests of readers at all levels of preparation. The Prelude and Level 1 are intended to give everyone an overview in words and pictures of the modern theory of van der Waals forces. Level 2 gives the formulae and a wide range of algorithms to let readers compute the van der Waals forces under virtually any physical or physiological conditions. Level 3 offers a rigorous basic formulation of the theory.

Customer Reviews:

Teaching and Research and Van der Waals forces.......2006-09-15

I teach courses covering the fundamentals of surface and colloid engineering. The Parsegian textbook is ideal for either teaching a segment of 6 to 9 lectures or teaching an entire course on Van der Waals forces - I have done both. Moreover, there is also advanced material included that is important for applications that range from biomembrane physics to wetting phenomena. Even the price is right!
This is an excellent book in every way.

Every science library should have two copies of this book........2006-02-10

This book is the best ever written about Van der Waals forces. Parsegian is the world's expert on this subject, which is essential for an understanding of physical biology and much of chemistry, engineering, and physics. Parsegian writes superbly and clearly. His book is fun to read. Every biologist and every biophysicist should get a copy. Every science library should have at least two copies of this book.

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems

Average customer rating:

Good book for computational neuroscience
"Theoretical Neuroscience" Dry but Informative
Good starting point for undergraduate students
Theoretical Neurosciences from a Computational Perspective
Great textbook and reference

Theoretical Neuroscience: Computational and Mathematical Modeling of Neural Systems
Peter Dayan , and L. F. Abbott
Manufacturer: The MIT Press
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Binding: Hardcover

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Spikes: Exploring the Neural Code (Computational Neuroscience)
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Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting (Computational Neuroscience)
Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry and Engineering
Spiking Neuron Models

ASIN: 0262041995

Book Description

Theoretical neuroscience provides a quantitative basis for describing what nervous systems do, determining how they function, and uncovering the general principles by which they operate. This text introduces the basic mathematical and computational methods of theoretical neuroscience and presents applications in a variety of areas including vision, sensory-motor integration, development, learning, and memory.

The book is divided into three parts. Part I discusses the relationship between sensory stimuli and neural responses, focusing on the representation of information by the spiking activity of neurons. Part II discusses the modeling of neurons and neural circuits on the basis of cellular and synaptic biophysics. Part III analyzes the role of plasticity in development and learning. An appendix covers the mathematical methods used, and exercises are available on the book's Web site.

Customer Reviews:

Good book for computational neuroscience.......2007-01-28

I am a mathematician and economist interested in how human brain works. To me, (so far) this is the best book using equations to describe the overall picture of brain functions. Even though it might not touch in-depth research topics, I am sure it gives anyone interested in neuroscience very solid foundations on which more advance topics are built. (It actually invites me to more in-depth research topics, such as reinforcement learning, reward-punishment system, etc.)

If math is your familiar language (says, system of differential equations and Bayesian probability), and you are interested to know, in technical details, how the brain functions, this book is for you. Then, I think, you can go into research topics of your interests after finishing reading this book.

"Theoretical Neuroscience" Dry but Informative.......2006-03-23

"Theoretical Neuroscience" is an in-depth introduction to modeling of neural systems from the chemical/electrical processes within neurons, up through small networks of neurons. It is a little dry, but provides a wealth of information on modeling the electrophysical and computational properties of neurons.

Good starting point for undergraduate students.......2005-07-05

This book covers a wide range of different and important subjects of this field and provides by this a good overview to students new in neuroscience. On the other hand side, the topics discussed are not described thoroughly, but stay on the surface. This maybe no big problem for undergraduates who try just to understand the basics but certainly this is not satisfactory for more advanced students or researches.

In my opinion, this book blurs the view of the reader by presenting results about experiments and theoretical models side by side in a way that no fair and solid discussion is provided indicating clearly the limitations and problems of current models. By this, one could get the feeling that the presented models are more than tool to analyse data. However, exactly this is not true for most of the models as can be seen by the fact that these models can also be found in other areas than neuroscience with other interpretations.

Theoretical Neurosciences from a Computational Perspective.......2004-06-11

This text will become a standard course book for Graduate Schools in Computational Neurosciences. You need to know advanced engineering mathematics & probability theory to be able to understand this book. Dayan & Abbott model primary visual cortical, MT, LIP, and Motor cortical neurons as single units, but also as populations (clusters) of firing cells. They discuss Bayes Theorem, probability theory as it applies to the brain, and parietal lobe function as well. They derive all the equations associated with these models for the student so that more advanced parts of the book are comprehensible. The book is not meant to be a general Neuroscience book, but rather a course book about neuronal modeling, computational neurobiology, and neural engineering. It serves these three purposes well. In my opinion, this is the best written account of neuron modeling out there for the graduate student and researcher. Methods in Neuronal Modeling by Christof Koch is the other great book on this subject. If you own these two books you should be able to advance in high level neural modelling. There are numerous equations and formulae of interest throughout each chapter in these two volumes. The price of 39.00 USD for the hardcover is really quite a bargain.

Great textbook and reference.......2003-08-16

This book is certainly the most thorough textbook currently available
on many aspects of computational neuroscience. It works very carefully
through the fundamental assumptions and equations underlying large
tracts of contemporary quantitative analysis in neuroscience. It is
an ideal introductory book for those with a quantitative background,
and is destined to become a standard course book in the field.

Theoretical Models of Skeletal Muscle: Biological and Mathematical Considerations

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Theoretical Models of Skeletal Muscle: Biological and Mathematical Considerations
M. Epstein , and W. Herzog
Manufacturer: John Wiley & Sons
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ASIN: 0471969559

Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance (World Scientific Series on Nonlinear Science Series a)

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Applied Nonlinear Time Series Analysis: Applications in Physics, Physiology and Finance (World Scientific Series on Nonlinear Science Series a)
Michael Small
Manufacturer: World Scientific Publishing Company
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Nonlinear Time Series Analysis
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ASIN: 981256117X

Neurodynamics: An Exploration in Mesoscopic Brain Dynamics (Perspectives in Neural Computing)

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Neurodynamics: An Exploration in Mesoscopic Brain Dynamics (Perspectives in Neural Computing)
Walter J. Freeman
Manufacturer: Springer
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ASIN: 1852336161

Book Description

This volume provides an overview of important work carried out by Professor Walter Freeman of the University of Berkeley, California, USA. Collecting together his published works over the last 35 years, it charts his groundbreaking research into perception and other cognitive operations in animals and humans and looks at how this can be applied to computer hardware to provide the foundations for novel - and greatly improved - machine intelligence. It provides a step-by-step description of the concepts and data needed by electrical engineers, computer scientists and cognitivists to understand and emulate pattern recognition in biological systems at a level of competence which has not yet been matched by any form of Artificial Intelligence. It offers a unique blend of theory and experiment and, historically, it also demonstrates the impact of computers on the design, execution, and interpretation of experiments in neurophysiology over the past five decades.

Identification of Nonlinear Physiological Systems (IEEE Press Series on Biomedical Engineering)

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Excellent mix of practical and theoretical.

Identification of Nonlinear Physiological Systems (IEEE Press Series on Biomedical Engineering)
David T. Westwick , and Robert E. Kearney
Manufacturer: Wiley-IEEE Press
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Nonlinear Dynamic Modeling of Physiological Systems (IEEE Press Series on Biomedical Engineering)

ASIN: 0471274569

Book Description

Significant advances have been made in the field since the previous classic texts were written. This text brings the available knowledge up to date.
* Enables the reader to use a wide variety of nonlinear system identification techniques.
* Offers a thorough treatment of the underlying theory.
* Provides a MATLAB toolbox containing implementation of the latest identification methods together with an extensive set of problems using realistic data sets.

Customer Reviews:

Excellent mix of practical and theoretical........2005-07-11

This book provides easy to follow explanations of not only the theory behind system identification in both the linear and nonlinear realsm, but also has a lot of practical algorithms (including matlab source) and examples.

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Tissue Mechanics
Stephen C. Cowin , and Stephen B. Doty
Manufacturer: Springer
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Binding: Hardcover

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Introductory Biomechanics: From Cells to Organisms (Cambridge Texts in Biomedical Engineering) (Cambridge Texts in Biomedical Engineering)
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Biomechanics: Mechanical Properties of Living Tissues
Introduction to Microfabrication
Cytoskeletal Mechanics: Models and Measurements (Cambridge Texts in Biomedical Engineering)

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Vascular Mechanics and Pathology
Advances in Medical Engineering (Springer Proceedings in Physics)
Modeling of Biological Materials (Modeling and Simulation in Science, Engineering and Technology)

ASIN: 0387368256

Book Description

Tissue Mechanics , Second Edition is about the mechanics of tissues for use at the advanced undergraduate level or above. Tissues transmit mechanical loads just like bridges and building structures. Not only do they transmit loads, but also they adapt their own structures so that the structures will transmit the mechanical loads more effectively, unlike bridges and building structures. The structures of living tissues are continually changing due to growth and response to the tissue environment, including the mechanical environment. The objective of this text is to describe the nature of the composite components of a tissue, the cellular processes that produce these constituents, the assembly of the constituents into a hierarchical structure, and the behavior of the tissue’s composite structure in the adaptation to its mechanical environment. A tissue’s mechanical environment is the history of mechanical loading experienced by the tissue in some reference time period, like a day.

The most important features of the textbook are its middle level, neither too advanced nor too elementary, its fresh perspective on older material issues, and the inclusion of new research results carefully crafted onto this intermediate base of mechanics.

Key Features:

An introductory chapter on the structure of tissues and the fascinating unresolved problems concerning how biological tissues are formed and constructed.

Detailed illustrations and included (with book/author watermark) on CD for tutorial / instructional use

Example problems to provide the student with hands-on experience with concepts

Extensive appendices and tutorial materials on new developments including expanded treatment of ceramic materials and implants

Detailed references for further reading

Solutions Manual on CD for Bona Fide Instructors (separate entity; top secret sales code)

As in TM, 1E a website (http://tissue-mechanics.com/) that has been established to provide supplemental material for the book. On this website is posted downloadable additional chapters on specific tissues, downloadable PowerPoint presentations of all the book's chapters, corrections to the published volume and additional exercises and examples for the existing chapters.

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