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Summary
Summary
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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
Foreword | p. xv |
Preface | p. xvii |
Acknowledgments | p. xix |
1 Introduction | p. 1 |
1.1 Signals and Systems | p. 3 |
1.2 System Properties | p. 5 |
SISO and MIMO | p. 5 |
Continuous-Time and Discrete-Time | p. 5 |
Static and Dynamic | p. 6 |
Linear and Nonlinear | p. 6 |
Time-Invariant and Time-Variant | p. 6 |
1.3 Modeling and Simulation | p. 7 |
1.4 Applications in Biomedical Engineering | p. 10 |
1.5 Symbolic Notation | p. 11 |
Review Problems | p. 12 |
References and Further Reading | p. 12 |
Part 1 Theory | |
2 Model Requirements | p. 17 |
2.1 Qualitative Aspects | p. 19 |
2.2 Quantitative Aspects | p. 22 |
2.3 Implementation and Interfacing | p. 24 |
Model Code Implementation | p. 24 |
Interfacing | p. 24 |
General Program Requirements | p. 27 |
2.4 Target Response Data | p. 27 |
Review Problems | p. 28 |
References and Further Reading | p. 29 |
3 Conceptual Models | p. 31 |
3.1 Block Diagrams | p. 34 |
3.2 Component Diagrams | p. 39 |
3.3 General Observations on Conceptual Models | p. 42 |
Review Problems | p. 43 |
References and Further Reading | p. 43 |
4 Mathematical Models | p. 45 |
4.1 A Model of Two Physical Systems | p. 47 |
4.2 State Variable Models | p. 51 |
4.3 Units and Numerical Values | p. 56 |
4.4 Direct Representation of Fluid Circuits | p. 58 |
4.5 Direct Representation of Gas Uptake and Distribution | p. 63 |
4.6 Direct Representation of Simple Transfers in the Nervous System | p. 70 |
4.7 Electrical Analogs and State Variable Models of Circuits | p. 70 |
4.8 General Observations on Mathematical Models and Parameter Estimation | p. 77 |
Review Problems | p. 79 |
References and Further Reading | p. 80 |
5 Software Implementation | p. 81 |
5.1 Discretization of the Continuous-Time State Equation | p. 83 |
5.2 Basic Algorithms for Implementation of the Discrete-Time State Variable Model | p. 84 |
5.3 Model Code Verification | p. 86 |
5.4 Connecting State Variable Models | p. 87 |
Review Problems | p. 93 |
References and Further Reading | p. 94 |
6 Simulation Results and Model Validation | p. 95 |
6.1 Definitions and Overall Procedure | p. 97 |
6.2 Quantitative and Qualitative Methods for Establishing Accuracy | p. 100 |
6.3 Range of Validity, Target Data, and Experimental Conditions | p. 102 |
Review Problems | p. 103 |
References and Further Reading | p. 103 |
Part II Applications | |
7 A Model of the Cardiorespiratory System | p. 107 |
7.1 Model Requirements | p. 110 |
7.2 Conceptual Model | p. 111 |
Reference and Further Reading | p. 113 |
8 Circulation | p. 115 |
8.1 Model Requirements | p. 117 |
8.2 Conceptual Models | p. 119 |
8.3 Mathematical Models | p. 122 |
References and Further Reading | p. 131 |
9 Respiration | p. 133 |
9.1 Model Requirements | p. 133 |
9.2 Multiple Models | p. 135 |
9.3 Conceptual Models | p. 137 |
9.4 Mathematical Models | p. 145 |
References and Further Reading | p. 154 |
10 Physiologic Control | p. 155 |
10.1 Model Requirements | p. 158 |
10.2 Conceptual Models | p. 160 |
10.3 Mathematical Models | p. 162 |
References and Further Reading | p. 168 |
Part III Advanced Topics | |
11 Sensitivity Analysis | p. 169 |
11.1 Method | p. 171 |
11.2 Application to a Hemodynamic Model | p. 172 |
References and Further Reading | p. 174 |
12 Design of Model-Driven Acute Care Training Simulators | p. 175 |
12.1 Training Program Design | p. 178 |
12.2 Simulator Design | p. 180 |
12.3 Model Requirements | p. 182 |
References and Further Reading | p. 185 |
Index | p. 187 |