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Affiner la recherche Interroger des sources externesIntroduction to Modeling in Physiology and MedicineC / Claudio Cobelli
Titre : Introduction to Modeling in Physiology and MedicineC Type de document : texte imprimé Auteurs : Claudio Cobelli, Auteur ; Ewart Carson, Auteur Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2008 Collection : Academic Press Series in Biomedical Engineering Importance : 324 p. Présentation : couv. ill. en coul., ill. Format : 24,8 cm. ISBN/ISSN/EAN : 978-0-12-160240-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples.
• Developed for biomedical engineering and related courses: speaks to BME students at a level and in a language appropriate to their needs, with an interdisciplinary clinical/engineering approach, quantitative basis, and many applied examples to enhance learning
• Delivers a quantitative approach to modeling and also covers simulation: the perfect foundation text for studies across BME and medicine
• Extensive case studies and engineering applications from BME, plus end-of-chapter exercises and a separate Instructor’s manualNote de contenu : CONTENTS
CHAPTER 1 INTRODUCTION
CHAPTER 2 PHYSIOLOGICAL COMPLEXITY AND THE NEED FOR MODELS
2.2 Complexity
2.3 Feedback
2.4 Control in Physiological Systems
2.5 Hierarchy
2.6 Redundancy
2.7 Function and Behavior and their Measurement
2.8 Challenges to Understanding
CHAPTER 3 MODELS AND THE MODELING PROCESS
3.5 Model Formulation
3.6 Model Identification
3.7 Model Validation
3.8 Model Simulation
CHAPTER 4 MODELING THE DATA
4.2 The Basis of Data Modeling
4.3 The Why and When of Data Models
4.4 Approaches to Data Modeling
4.5 Modeling a Single Variable Occurring Spontaneously
4.6 Modeling a Single Variable in Response to a Perturbation
4.7 Two Variables Causally Related
4.8 Input/output Modeling for Control
4.9 Input/output Modeling: Impulse Response and Deconvolution
CHAPTER 5 MODELING THE SYSTEM
5.2 Static Models
5.3 Linear Modeling
5.4 Distributed Modeling
5.5 Nonlinear Modeling
5.6 Time-varying Modeling
5.7 Stochastic Modeling
CHAPTER 6 MODEL IDENTIFICATION
6.2 Data for Identification
6.3 Errors
6.4 The Way Forward
CHAPTER 7 PARAMETRIC MODELING – THE IDENTIFIABILITY PROBLEM
7.4 Linear Models: The Transfer Function Method
7.5 Nonlinear Models: The Taylor Series Expansion Method
7.6 Qualitative Experimental Design
CHAPTER 8 PARAMETRIC MODELS – THE ESTIMATION PROBLEM
8.2 Linear and Nonlinear Parameters
8.3 Regression: Basic Concepts
8.4 Linear Regression
8.5 Nonlinear Regression
8.6 Tests for Model Order
8.7 Maximum Likelihood Estimation
8.8 Bayesian Estimation
8.9 Optimal Experimental Design
CHAPTER 9 NON-PARAMETRIC MODELS – SIGNAL ESTIMATION
9.2 Why is Deconvolution Important?
9.3 The Problem
9.4 Difficulty of the Deconvolution Problem
9.5 The Regularization Method
CHAPTER 10 MODEL VALIDATION
10.3 Validation Strategies
10.4 Good Practice in Good Modeling
CHAPTER 11 CASE STUDIES
11.1 Case Study 1: A Sum of Exponentials Tracer Disappearance Model
11.2 Case Study 2: Blood Flow Modeling
11.3 Case Study 3: Cerebral Glucose Modeling
11.4 Case Study 4: Models of the Ligand-Receptor System
11.5 Case Study 5: A Simulation Model of the Glucose-Insulin System
11.5.1 Model Formulation
11.5.2 Results
11.6 Case Study 6: A Model of Insulin Control
11.7 Case Study 7: Illustrations of Bayesian Estimation
INDEXIntroduction to Modeling in Physiology and MedicineC [texte imprimé] / Claudio Cobelli, Auteur ; Ewart Carson, Auteur . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2008 . - 324 p. : couv. ill. en coul., ill. ; 24,8 cm.. - (Academic Press Series in Biomedical Engineering) .
ISBN : 978-0-12-160240-6
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : This unified modeling textbook for students of biomedical engineering provides a complete course text on the foundations, theory and practice of modeling and simulation in physiology and medicine. It is dedicated to the needs of biomedical engineering and clinical students, supported by applied BME applications and examples.
• Developed for biomedical engineering and related courses: speaks to BME students at a level and in a language appropriate to their needs, with an interdisciplinary clinical/engineering approach, quantitative basis, and many applied examples to enhance learning
• Delivers a quantitative approach to modeling and also covers simulation: the perfect foundation text for studies across BME and medicine
• Extensive case studies and engineering applications from BME, plus end-of-chapter exercises and a separate Instructor’s manualNote de contenu : CONTENTS
CHAPTER 1 INTRODUCTION
CHAPTER 2 PHYSIOLOGICAL COMPLEXITY AND THE NEED FOR MODELS
2.2 Complexity
2.3 Feedback
2.4 Control in Physiological Systems
2.5 Hierarchy
2.6 Redundancy
2.7 Function and Behavior and their Measurement
2.8 Challenges to Understanding
CHAPTER 3 MODELS AND THE MODELING PROCESS
3.5 Model Formulation
3.6 Model Identification
3.7 Model Validation
3.8 Model Simulation
CHAPTER 4 MODELING THE DATA
4.2 The Basis of Data Modeling
4.3 The Why and When of Data Models
4.4 Approaches to Data Modeling
4.5 Modeling a Single Variable Occurring Spontaneously
4.6 Modeling a Single Variable in Response to a Perturbation
4.7 Two Variables Causally Related
4.8 Input/output Modeling for Control
4.9 Input/output Modeling: Impulse Response and Deconvolution
CHAPTER 5 MODELING THE SYSTEM
5.2 Static Models
5.3 Linear Modeling
5.4 Distributed Modeling
5.5 Nonlinear Modeling
5.6 Time-varying Modeling
5.7 Stochastic Modeling
CHAPTER 6 MODEL IDENTIFICATION
6.2 Data for Identification
6.3 Errors
6.4 The Way Forward
CHAPTER 7 PARAMETRIC MODELING – THE IDENTIFIABILITY PROBLEM
7.4 Linear Models: The Transfer Function Method
7.5 Nonlinear Models: The Taylor Series Expansion Method
7.6 Qualitative Experimental Design
CHAPTER 8 PARAMETRIC MODELS – THE ESTIMATION PROBLEM
8.2 Linear and Nonlinear Parameters
8.3 Regression: Basic Concepts
8.4 Linear Regression
8.5 Nonlinear Regression
8.6 Tests for Model Order
8.7 Maximum Likelihood Estimation
8.8 Bayesian Estimation
8.9 Optimal Experimental Design
CHAPTER 9 NON-PARAMETRIC MODELS – SIGNAL ESTIMATION
9.2 Why is Deconvolution Important?
9.3 The Problem
9.4 Difficulty of the Deconvolution Problem
9.5 The Regularization Method
CHAPTER 10 MODEL VALIDATION
10.3 Validation Strategies
10.4 Good Practice in Good Modeling
CHAPTER 11 CASE STUDIES
11.1 Case Study 1: A Sum of Exponentials Tracer Disappearance Model
11.2 Case Study 2: Blood Flow Modeling
11.3 Case Study 3: Cerebral Glucose Modeling
11.4 Case Study 4: Models of the Ligand-Receptor System
11.5 Case Study 5: A Simulation Model of the Glucose-Insulin System
11.5.1 Model Formulation
11.5.2 Results
11.6 Case Study 6: A Model of Insulin Control
11.7 Case Study 7: Illustrations of Bayesian Estimation
INDEXExemplaires
Code-barres Cote Support Localisation Section Disponibilité N.Inventaire 2567 35-04-04 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2567 2568 35-04-04 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2568
Titre : Modelling methodology for physiology and medicine Type de document : texte imprimé Auteurs : Ewart Carson, Auteur ; Claudio Cobelli, Auteur Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2001 Collection : Academic Press Series in Biomedical Engineering Importance : 421 p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-12-160245-1 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : Modelling Methodology for Physiology and Medicine offers a unique approach and an unprecedented range of coverage of the state-of-the-art, advanced modelling methodology that is widely applicable to physiology and medicine. The book opens with a clear and integrated treatment of advanced methodology for developing mathematical models of physiology and medical systems. Readers are then shown how to apply this methodology beneficially to real-world problems in physiology and medicine, such as circulation and respiration.
Builds upon and enhances the readers existing knowledge of modelling methodology and practice
Editors are internationally renowned leaders in their respective fieldsNote de contenu : Contents:
Chapter 1. An Introduction to Modelling Methodology
1.1 Introduction
1.2 The Need for Models
1.3 Approaches to Modelling
1.4 Simulation
1.5 Model Identification
Chapter 2. Control in Physiology And Medicine
2.1 Introduction
2.2 A Systems and Control Approach
2.3 Control Mechanisms in Physiology
2.4 Control System Representations of the Clinical Process
2.5 Control System Approaches to Drug Therapy Planning and Administration
Chapter 3. Deconvolution
3.1 Introduction
3.2 Problem Statement
3.3 Difficulty of the Deconvolution Problem
3.4 The Regularization Method
3.5 Other Deconvolution Methods
3.6 Conclusions
3.7 Acknowledgements
Chapter 4. A priori Identifiability of Physiological Parametric Models
4.1 Introduction
4.2 The System-Experiment Model
4.3 A Priori Identifiability
4.4 Available Methods
4.5 An Identifiability Algorithm for Nonlinear Models
4.6 An Identifiability Algorithm for Linear Compartmental Models
Appendix A: The Characteristic Set
Appendix B: THE Gröbner Basis
Chapter 5. Parameter Estimation
5.1 Introduction
5.2 Least Squares and Maximum Likelihood Estimators
5.3 Bayesian Estimator
5.4 Population Kinetic Analysis
5.5 Acknowledgement
Chapter 6. Tracer Experiment Design for Metabolic Fluxes Estimation in Steady and Nonsteady State
6.1 Introduction
6.2 Fundamentals
6.3 Accessible-Pool and System Fluxes
6.4 The Tracer Probe
6.5 Estimation of Tracee Fluxes in Steady State
6.6 Estimation of Nonsteady-State Fluxes
Chapter 7. Physiological Modelling of Positron Emission Tomography Images
7.1 Introduction
7.2 Modeling Strategies
7.3 Positron Emission Tomography Measurement Error
7.4 Models of Regional Glucose Metabolism
7.5 Models of [15O]H2O Kinetics to Assess Blood Flow
7.6 Models of the Ligand-Receptor System
Chapter 8. Identification and Physiological Interpretation of Aortic Impedance in Modelling
8.1 Introduction
8.2 The Modelling Process and Related Problems of Identifiability and Determinacy
8.3 Vascular Impedance
8.4 Data-Driven Models of Vascular Impedance (Frequency Response Technique)
8.5 Historical Development of Windkessel Models
8.6 Where Windkessel Models' Identification Meets Physiological Interpretation
8.7 Contradictions in Clinically Oriented Compliance Estimation Methods (How the Viscoelastic Windke
8.8 Distributed Description of Linear Arterial Systems to Infer Aortic Wave Reflection
8.9 Identifiability: A Key Issue in the Assessment of Physiological Relevance of T-Tube Model
Chapter 9. Mathematical Modelling of Pulmonary Gas Exchange
9.1 Standard Equations Used to Describe Gas Transport in the Lungs
9.2 Models of Diffusion Limitation
9.3 Models of Ventilation Perfusion Mismatch
9.4 Application of Mathematical Models of Ventilation, Perfusion, and Diffusion
Appendix A. GLossary
Appendix B. Calculations Necessary to Convert Inspired Gas at ATPD to BTPS
Chapter 10. Mathematical Models of Respiratory Mechanics
10.1 Introduction
10.2 Breathing Mechanics: Basic Concepts
10.3 First-Order Models
10.4 Second-Order Models
10.5 Respiratory Oscillation Mechanics
10.6 Simulation Models of Breathing Mechanics
Chapter 11. Insulin Modelling
11.1 Introduction
11.2 Models of Whole-body Insulin Kinetics
11.3 An Organ Model of Insulin Secretion
11.4 Estimation of Insulin Secretion by Deconvolution
11.5 A Structural Model to Estimate Insulin Secretion and Secretory Indices
11.6 Estimation of Hepatic Insulin Extraction
Chapter 12. Glucose Modeling
12.1 Introduction
12.2 Models of Whole-body Kinetics in Steady State
12.3 Models of Regional Kinetics in Steady State
12.4 Models of Whole-body Kinetics in Nonsteady State
12.5 Models of Glucose and Insulin Control on Glucose Metabolism
12.6 Simulation Models
Chapter 13. Blood-Tissue Exchange Modelling
13.1 Introduction
13.2 Experimental Approaches
13.3 Models of Blood-Tissue Exchange
IndexModelling methodology for physiology and medicine [texte imprimé] / Ewart Carson, Auteur ; Claudio Cobelli, Auteur . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2001 . - 421 p. : couv. ill. en coul., ill. ; 24 cm.. - (Academic Press Series in Biomedical Engineering) .
ISBN : 978-0-12-160245-1
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : Modelling Methodology for Physiology and Medicine offers a unique approach and an unprecedented range of coverage of the state-of-the-art, advanced modelling methodology that is widely applicable to physiology and medicine. The book opens with a clear and integrated treatment of advanced methodology for developing mathematical models of physiology and medical systems. Readers are then shown how to apply this methodology beneficially to real-world problems in physiology and medicine, such as circulation and respiration.
Builds upon and enhances the readers existing knowledge of modelling methodology and practice
Editors are internationally renowned leaders in their respective fieldsNote de contenu : Contents:
Chapter 1. An Introduction to Modelling Methodology
1.1 Introduction
1.2 The Need for Models
1.3 Approaches to Modelling
1.4 Simulation
1.5 Model Identification
Chapter 2. Control in Physiology And Medicine
2.1 Introduction
2.2 A Systems and Control Approach
2.3 Control Mechanisms in Physiology
2.4 Control System Representations of the Clinical Process
2.5 Control System Approaches to Drug Therapy Planning and Administration
Chapter 3. Deconvolution
3.1 Introduction
3.2 Problem Statement
3.3 Difficulty of the Deconvolution Problem
3.4 The Regularization Method
3.5 Other Deconvolution Methods
3.6 Conclusions
3.7 Acknowledgements
Chapter 4. A priori Identifiability of Physiological Parametric Models
4.1 Introduction
4.2 The System-Experiment Model
4.3 A Priori Identifiability
4.4 Available Methods
4.5 An Identifiability Algorithm for Nonlinear Models
4.6 An Identifiability Algorithm for Linear Compartmental Models
Appendix A: The Characteristic Set
Appendix B: THE Gröbner Basis
Chapter 5. Parameter Estimation
5.1 Introduction
5.2 Least Squares and Maximum Likelihood Estimators
5.3 Bayesian Estimator
5.4 Population Kinetic Analysis
5.5 Acknowledgement
Chapter 6. Tracer Experiment Design for Metabolic Fluxes Estimation in Steady and Nonsteady State
6.1 Introduction
6.2 Fundamentals
6.3 Accessible-Pool and System Fluxes
6.4 The Tracer Probe
6.5 Estimation of Tracee Fluxes in Steady State
6.6 Estimation of Nonsteady-State Fluxes
Chapter 7. Physiological Modelling of Positron Emission Tomography Images
7.1 Introduction
7.2 Modeling Strategies
7.3 Positron Emission Tomography Measurement Error
7.4 Models of Regional Glucose Metabolism
7.5 Models of [15O]H2O Kinetics to Assess Blood Flow
7.6 Models of the Ligand-Receptor System
Chapter 8. Identification and Physiological Interpretation of Aortic Impedance in Modelling
8.1 Introduction
8.2 The Modelling Process and Related Problems of Identifiability and Determinacy
8.3 Vascular Impedance
8.4 Data-Driven Models of Vascular Impedance (Frequency Response Technique)
8.5 Historical Development of Windkessel Models
8.6 Where Windkessel Models' Identification Meets Physiological Interpretation
8.7 Contradictions in Clinically Oriented Compliance Estimation Methods (How the Viscoelastic Windke
8.8 Distributed Description of Linear Arterial Systems to Infer Aortic Wave Reflection
8.9 Identifiability: A Key Issue in the Assessment of Physiological Relevance of T-Tube Model
Chapter 9. Mathematical Modelling of Pulmonary Gas Exchange
9.1 Standard Equations Used to Describe Gas Transport in the Lungs
9.2 Models of Diffusion Limitation
9.3 Models of Ventilation Perfusion Mismatch
9.4 Application of Mathematical Models of Ventilation, Perfusion, and Diffusion
Appendix A. GLossary
Appendix B. Calculations Necessary to Convert Inspired Gas at ATPD to BTPS
Chapter 10. Mathematical Models of Respiratory Mechanics
10.1 Introduction
10.2 Breathing Mechanics: Basic Concepts
10.3 First-Order Models
10.4 Second-Order Models
10.5 Respiratory Oscillation Mechanics
10.6 Simulation Models of Breathing Mechanics
Chapter 11. Insulin Modelling
11.1 Introduction
11.2 Models of Whole-body Insulin Kinetics
11.3 An Organ Model of Insulin Secretion
11.4 Estimation of Insulin Secretion by Deconvolution
11.5 A Structural Model to Estimate Insulin Secretion and Secretory Indices
11.6 Estimation of Hepatic Insulin Extraction
Chapter 12. Glucose Modeling
12.1 Introduction
12.2 Models of Whole-body Kinetics in Steady State
12.3 Models of Regional Kinetics in Steady State
12.4 Models of Whole-body Kinetics in Nonsteady State
12.5 Models of Glucose and Insulin Control on Glucose Metabolism
12.6 Simulation Models
Chapter 13. Blood-Tissue Exchange Modelling
13.1 Introduction
13.2 Experimental Approaches
13.3 Models of Blood-Tissue Exchange
IndexExemplaires
Code-barres Cote Support Localisation Section Disponibilité N.Inventaire 2557 35-04-06 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2557 2558 35-04-06 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2558
