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Cover image for Modeling and simulation in biomedical engineering : applications in cardiorespiratory physiology
Title:
Modeling and simulation in biomedical engineering : applications in cardiorespiratory physiology
Personal Author:
Publication Information:
New York : McGraw-Hill, c2011
Physical Description:
xx, 193 p. : ill. ; 23 cm.
ISBN:
9780071714457
Abstract:
"This guide comprehensively covers everything from theory to practical application examples of modeling and simulation techniques of human physiology for medical engineers"--Provided by publisher

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30000010279613 QP112.4 M48 2011 Open Access Book Book
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Summary

Publisher's Note: Products purchased from Third Party sellers are not guaranteed by the publisher for quality, authenticity, or access to any online entitlements included with the product.




THEORY AND PRACTICE OF MODELING AND SIMULATING HUMAN PHYSIOLOGY

Written by a coinventor of the Human Patient Simulator (HPS) and past president of the Society in Europe for Simulation Applied to Medicine (SESAM), Modeling and Simulation in Biomedical Engineering: Applications in Cardiorespiratory Physiology is a compact and consistent introduction to this expanding field. The book divides the modeling and simulation process into five manageable steps--requirements, conceptual models, mathematical models, software implementation, and simulation results and validation.

A framework and a basic set of deterministic, continuous-time models for the cardiorespiratory system are provided. This timely resource also addresses advanced topics, including sensitivity analysis and setting model requirements as part of an encompassing simulation and simulator design. Practical examples provide you with the skills to evaluate and adapt existing physiologic models or create new ones for specific applications.

Coverage includes:

Signals and systems Model requirements Conceptual models Mathematical models Software implementation Simulation results and model validation Cardiorespiratory system model Circulation Respiration Physiologic control Sensitivity analysis of a cardiovascular model Design of model-driven acute care training simulators

"Uniquely qualified to author such a text, van Meurs is one of the original developers of CAE Healthcare's Human Patient Simulator (HPS). ...His understanding of mathematics, human physiology, pharmacology, control systems, and systems engineering, combined with a conversational writing style, results in a readable text. ...The ample illustrations and tables also break up the text and make reading the book easier on the eyes. ...concise yet in conversational style, with real-life examples. This book is highly recommended for coursework in physiologic modeling and for all who are interested in simulator design and development. The book pulls all these topics together under one cover and is an important contribution to biomedical literature." -- IEEE Pulse , January 2014

"This book is written by a professional engineer who is unique in that he seems to have a natural understanding of 3 key areas as follows: the hardware involved with simulators, human physiology, and mathematical modeling. Willem van Meurs is one of the inventors of the model-driven human patient simulator (HPS), and so, he is very qualified to write this book. The book is written in a clear way, using the first person throughout, in a conversational manner, with a style that involves posing questions and answering them in subsequent text. ...The book starts with a very useful introduction and background chapter, setting out the scene for the rest of the book. ...I have used his book in enhancing my own talks and understanding human patient simulation and can strongly recommend it." -- Simulation in Healthcare December, 2012
Reviewed by Mark A. Tooley, Ph.D., Department of Medical Physics and Bioengineering, Royal United Hospital, Combe Park, Bath, UK.


Author Notes

Willem van Meurs, Ph.D., is the co-inventor of the Human Patient Simulator. He is a consultant at Medical Education Technologies, Inc., and conducts modeling and simulation teaching and research at the University of Porto, Portugal. Dr. van Meurs was the president of the Society in Europe for Simulation Applied to Medicine from 2005-2007. He has published more than 20 full papers in peer-reviewed international journals and books and co-authored eight U.S. patents on modeling and simulation techniques.


Table of Contents

Forewordp. xv
Prefacep. xvii
Acknowledgmentsp. xix
1 Introductionp. 1
1.1 Signals and Systemsp. 3
1.2 System Propertiesp. 5
SISO and MIMOp. 5
Continuous-Time and Discrete-Timep. 5
Static and Dynamicp. 6
Linear and Nonlinearp. 6
Time-Invariant and Time-Variantp. 6
1.3 Modeling and Simulationp. 7
1.4 Applications in Biomedical Engineeringp. 10
1.5 Symbolic Notationp. 11
Review Problemsp. 12
References and Further Readingp. 12
Part 1 Theory
2 Model Requirementsp. 17
2.1 Qualitative Aspectsp. 19
2.2 Quantitative Aspectsp. 22
2.3 Implementation and Interfacingp. 24
Model Code Implementationp. 24
Interfacingp. 24
General Program Requirementsp. 27
2.4 Target Response Datap. 27
Review Problemsp. 28
References and Further Readingp. 29
3 Conceptual Modelsp. 31
3.1 Block Diagramsp. 34
3.2 Component Diagramsp. 39
3.3 General Observations on Conceptual Modelsp. 42
Review Problemsp. 43
References and Further Readingp. 43
4 Mathematical Modelsp. 45
4.1 A Model of Two Physical Systemsp. 47
4.2 State Variable Modelsp. 51
4.3 Units and Numerical Valuesp. 56
4.4 Direct Representation of Fluid Circuitsp. 58
4.5 Direct Representation of Gas Uptake and Distributionp. 63
4.6 Direct Representation of Simple Transfers in the Nervous Systemp. 70
4.7 Electrical Analogs and State Variable Models of Circuitsp. 70
4.8 General Observations on Mathematical Models and Parameter Estimationp. 77
Review Problemsp. 79
References and Further Readingp. 80
5 Software Implementationp. 81
5.1 Discretization of the Continuous-Time State Equationp. 83
5.2 Basic Algorithms for Implementation of the Discrete-Time State Variable Modelp. 84
5.3 Model Code Verificationp. 86
5.4 Connecting State Variable Modelsp. 87
Review Problemsp. 93
References and Further Readingp. 94
6 Simulation Results and Model Validationp. 95
6.1 Definitions and Overall Procedurep. 97
6.2 Quantitative and Qualitative Methods for Establishing Accuracyp. 100
6.3 Range of Validity, Target Data, and Experimental Conditionsp. 102
Review Problemsp. 103
References and Further Readingp. 103
Part II Applications
7 A Model of the Cardiorespiratory Systemp. 107
7.1 Model Requirementsp. 110
7.2 Conceptual Modelp. 111
Reference and Further Readingp. 113
8 Circulationp. 115
8.1 Model Requirementsp. 117
8.2 Conceptual Modelsp. 119
8.3 Mathematical Modelsp. 122
References and Further Readingp. 131
9 Respirationp. 133
9.1 Model Requirementsp. 133
9.2 Multiple Modelsp. 135
9.3 Conceptual Modelsp. 137
9.4 Mathematical Modelsp. 145
References and Further Readingp. 154
10 Physiologic Controlp. 155
10.1 Model Requirementsp. 158
10.2 Conceptual Modelsp. 160
10.3 Mathematical Modelsp. 162
References and Further Readingp. 168
Part III Advanced Topics
11 Sensitivity Analysisp. 169
11.1 Methodp. 171
11.2 Application to a Hemodynamic Modelp. 172
References and Further Readingp. 174
12 Design of Model-Driven Acute Care Training Simulatorsp. 175
12.1 Training Program Designp. 178
12.2 Simulator Designp. 180
12.3 Model Requirementsp. 182
References and Further Readingp. 185
Indexp. 187
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