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Collection Academic Press Series in Biomedical Engineering
- Editeur : Elsevier Academic Press
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Affiner la recherche Interroger des sources externesIntroduction to Biomedical Engineering / John D. Enderle
Titre : Introduction to Biomedical Engineering Type de document : texte imprimé Auteurs : John D. Enderle, Auteur ; Joseph D. Bronzino, Auteur Mention d'édition : 3rd. ed. Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2012 Collection : Academic Press Series in Biomedical Engineering Importance : 1253 p. Présentation : couv. ill. en coul., ill. Format : 24,1 cm. ISBN/ISSN/EAN : 978-0-12-374979-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-01 Génie biomédical général Résumé : Introduction to Biomedical Engineering is a comprehensive survey text for biomedical engineering courses. It is the most widely adopted text across the BME course spectrum, valued by instructors and students alike for its authority, clarity and encyclopedic coverage in a single volume. Biomedical engineers need to understand the wide range of topics that are covered in this text, including basic mathematical modeling; anatomy and physiology; electrical engineering, signal processing and instrumentation; biomechanics; biomaterials science and tissue engineering; and medical and engineering ethics. Enderle and Bronzino tackle these core topics at a level appropriate for senior undergraduate students and graduate students who are majoring in BME, or studying it as a combined course with a related engineering, biology or life science, or medical/pre-medical course. * NEW: Each chapter in the 3rd Edition is revised and updated, with new chapters and materials on compartmental analysis, biochemical engineering, transport phenomena, physiological modeling and tissue engineering. Chapters on peripheral topics have been removed and made avaialblw online, including optics and computational cell biology. * NEW: many new worked examples within chapters * NEW: more end of chapter exercises, homework problems Note de contenu : Contents
Chapter 1: Biomedical Engineering: A Historical Perspective
Chapter 2: Moral and Ethical Issues
Chapter 3: Anatomy and Physiology
Chapter 4: Biomechanics
Chapter 5: Biomaterials
Chapter 6: Tissue Engineering
Chapter 7: Compartmental Modeling
Chapter 8: Biochemical Reactions and Enzyme Kinetics
Chapter 9: Bioinstrumentation
Chapter 10: Biomedical Sensors
Chapter 11: Biosignal Processing
Chapter 12: Bioelectric Phenomena
Chapter 13: Physiological Modeling
Chapter 14: Biomedical Transport Processes
Chapter 15: Radiation Imaging
Chapter 16: Medical Imaging
Chapter 17: Biomedical Optics and Lasers
Appendix
A.1. Matlab
A.2. Solving differential equations using Matlab
A.3. Block diagrams and SIMULINK
A.4. Simulink
Index
Introduction to Biomedical Engineering [texte imprimé] / John D. Enderle, Auteur ; Joseph D. Bronzino, Auteur . - 3rd. ed. . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2012 . - 1253 p. : couv. ill. en coul., ill. ; 24,1 cm.. - (Academic Press Series in Biomedical Engineering) .
ISBN : 978-0-12-374979-6
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-01 Génie biomédical général Résumé : Introduction to Biomedical Engineering is a comprehensive survey text for biomedical engineering courses. It is the most widely adopted text across the BME course spectrum, valued by instructors and students alike for its authority, clarity and encyclopedic coverage in a single volume. Biomedical engineers need to understand the wide range of topics that are covered in this text, including basic mathematical modeling; anatomy and physiology; electrical engineering, signal processing and instrumentation; biomechanics; biomaterials science and tissue engineering; and medical and engineering ethics. Enderle and Bronzino tackle these core topics at a level appropriate for senior undergraduate students and graduate students who are majoring in BME, or studying it as a combined course with a related engineering, biology or life science, or medical/pre-medical course. * NEW: Each chapter in the 3rd Edition is revised and updated, with new chapters and materials on compartmental analysis, biochemical engineering, transport phenomena, physiological modeling and tissue engineering. Chapters on peripheral topics have been removed and made avaialblw online, including optics and computational cell biology. * NEW: many new worked examples within chapters * NEW: more end of chapter exercises, homework problems Note de contenu : Contents
Chapter 1: Biomedical Engineering: A Historical Perspective
Chapter 2: Moral and Ethical Issues
Chapter 3: Anatomy and Physiology
Chapter 4: Biomechanics
Chapter 5: Biomaterials
Chapter 6: Tissue Engineering
Chapter 7: Compartmental Modeling
Chapter 8: Biochemical Reactions and Enzyme Kinetics
Chapter 9: Bioinstrumentation
Chapter 10: Biomedical Sensors
Chapter 11: Biosignal Processing
Chapter 12: Bioelectric Phenomena
Chapter 13: Physiological Modeling
Chapter 14: Biomedical Transport Processes
Chapter 15: Radiation Imaging
Chapter 16: Medical Imaging
Chapter 17: Biomedical Optics and Lasers
Appendix
A.1. Matlab
A.2. Solving differential equations using Matlab
A.3. Block diagrams and SIMULINK
A.4. Simulink
Index
Exemplaires
Code-barres Cote Support Localisation Section Disponibilité N.Inventaire 2562 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2562 2561 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2561 2553 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2553 2554 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2554
Titre : Tissue Engineering Type de document : texte imprimé Auteurs : Clemens Van Blitterswijk, Auteur Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2008 Collection : Academic Press Series in Biomedical Engineering Importance : 740 p. Présentation : couv. ill.,ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-12-370869-4 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-01 Génie biomédical général Résumé : Tissue Engineering is a comprehensive introduction to the engineering and biological aspects of this critical subject. With contributions from internationally renowned authors, it provides a broad perspective on tissue engineering for students and professionals who are developing their knowledge of this important topic. Key topics covered include stem cells; morphogenesis and cellular signaling; the extracellular matrix; biocompatibility; scaffold design and fabrication; controlled release strategies; bioreactors; tissue engineering of skin, cartilage, bone and organ systems; and ethical issues.
• Covers all the essentials from tissue homeostasis and biocompatibility to cardiovascular engineering and regulations
• 22 chapters from internationally recognized authors, provide a comprehensive introduction for engineers and life scientists, including biomedical engineers, chemical and process engineers, materials scientists, biologists and medical students
• Full colour throughout, with clear development of understanding through frequent examples, experimental approaches and the latest research and developments.Note de contenu : Contents
Chapter 1 Stem cells
Chapter 2 Morphogenesis, generation of tissue in the embryo
Chapter 3 Tissue homeostasis
Chapter 4 Cellular signaling
Chapter 5 The extracellular matrix as a biologic scaffold for tissue engineering
Chapter 6 Natural polymers in tissue engineering applications
Chapter 7 Degradable polymers for tissue engineering
Chapter 8 Degradation of bioceramics
Chapter 9 Biocompatibility
Chapter 10 Cell source
Chapter 11 Cell culture: harvest, selection, expansion, and differentiation
Chapter 12 Cell nutrition
Chapter 13 Cryobiology
Chapter 14 Scaffold design and fabrication
Chapter 15 Controlled release strategies in tissue engineering
Chapter 16 Bioreactors for tissue engineering
Chapter 17 Tissue engineering for skin transplantation
Chapter 18 Tissue engineering of cartilage
Chapter 19 Tissue engineering of bone
Chapter 20 Tissue engineering of the nervous system
Chapter 21 Tissue engineering of organ systems
Chapter 22 Ethical issues in tissue engineering
IndexTissue Engineering [texte imprimé] / Clemens Van Blitterswijk, Auteur . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2008 . - 740 p. : couv. ill.,ill. ; 24 cm.. - (Academic Press Series in Biomedical Engineering) .
ISBN : 978-0-12-370869-4
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-01 Génie biomédical général Résumé : Tissue Engineering is a comprehensive introduction to the engineering and biological aspects of this critical subject. With contributions from internationally renowned authors, it provides a broad perspective on tissue engineering for students and professionals who are developing their knowledge of this important topic. Key topics covered include stem cells; morphogenesis and cellular signaling; the extracellular matrix; biocompatibility; scaffold design and fabrication; controlled release strategies; bioreactors; tissue engineering of skin, cartilage, bone and organ systems; and ethical issues.
• Covers all the essentials from tissue homeostasis and biocompatibility to cardiovascular engineering and regulations
• 22 chapters from internationally recognized authors, provide a comprehensive introduction for engineers and life scientists, including biomedical engineers, chemical and process engineers, materials scientists, biologists and medical students
• Full colour throughout, with clear development of understanding through frequent examples, experimental approaches and the latest research and developments.Note de contenu : Contents
Chapter 1 Stem cells
Chapter 2 Morphogenesis, generation of tissue in the embryo
Chapter 3 Tissue homeostasis
Chapter 4 Cellular signaling
Chapter 5 The extracellular matrix as a biologic scaffold for tissue engineering
Chapter 6 Natural polymers in tissue engineering applications
Chapter 7 Degradable polymers for tissue engineering
Chapter 8 Degradation of bioceramics
Chapter 9 Biocompatibility
Chapter 10 Cell source
Chapter 11 Cell culture: harvest, selection, expansion, and differentiation
Chapter 12 Cell nutrition
Chapter 13 Cryobiology
Chapter 14 Scaffold design and fabrication
Chapter 15 Controlled release strategies in tissue engineering
Chapter 16 Bioreactors for tissue engineering
Chapter 17 Tissue engineering for skin transplantation
Chapter 18 Tissue engineering of cartilage
Chapter 19 Tissue engineering of bone
Chapter 20 Tissue engineering of the nervous system
Chapter 21 Tissue engineering of organ systems
Chapter 22 Ethical issues in tissue engineering
IndexExemplaires
Code-barres Cote Support Localisation Section Disponibilité N.Inventaire 2563 35-01-03 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2563 2564 35-01-03 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2564
Titre : Numerical methods in biomedical engineering Type de document : texte imprimé Auteurs : Stanley M. Dunn, Auteur ; Alkis Constantinides, Auteur ; Prabhas V. Moghe, Auteur Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2006 Collection : Academic Press Series in Biomedical Engineering Importance : 615 p. Présentation : couv. ill. en coul., ill. Format : 24,7 cm. ISBN/ISSN/EAN : 978-0-12-186031-8 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics.
· Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout
· MATLAB problem sets and examples available electronically; UNIX, Windows, Mac OS compatible
· Extensive hands-on homework exercisesNote de contenu : Table of contents
Preface
Organization and Outline of the Book
Part I: Fundamentals
Chapter 1 Modeling Biosystems
1.1 Biomedical Engineering
1.2 Fundamental Aspects of Biomedical Engineering
1.3 Constructing Engineering Models
1.4 Examples of Solving Biomedical Engineering Models by Computer
1.5 Overview of the Text
1.6 Lessons Learned in this Chapter
1.7 Problems
Chapter 2 Introduction to Computing
2.1 Introduction
2.2 The Role of Computers in Biomedical Engineering
2.3 Programming Language Tools and Techniques
2.4 Fundamentals of Data Structures for MATLAB
2.5 An Introduction to Object-Oriented Systems
2.6 Analyzing Algorithms and Programs
Chapter 3 Concepts of Numerical Analysis
3.1 Scientific Computing
3.2 Numerical Algorithms and Errors
3.3 Taylor Series
3.4 Keeping Errors Small
3.5 Floating-Point Representation in MATLAB
Part II: Steady-State Behavior
Chapter 4 Linear Models of Biological Systems
4.2 Examples of Linear Biological Systems
4.3 Simultaneous Linear Algebraic Equations
4.4 The Gauss-Jordan Reduction Method
4.5 Iterative Approach for Solution of Linear Systems
Chapter 5 Nonlinear Equations in Biomedical Engineering
5.2 General Form of Nonlinear Equations
5.3 Examples of Nonlinear Equations in Biomedical Engineering
5.4 The Method of Successive Substitution
5.5 The Method of False Position (Linear Interpolation)
5.6 The Newton-Raphson Method
5.7 Newton’s Method for Simultaneous Nonlinear Equations
Part III: Dynamic Behavior
Chapter 6 Finite Difference Methods, Interpolation and Integration
6.2 Symbolic Operators
6.3 Backward Finite Differences
6.4 Forward Finite Differences
6.5 Central Finite Differences
6.6 Interpolating Polynomials
6.7 Interpolation of Equally Spaced Points
6.8 Interpolation of Unequally Spaced Points
6.9 Integration Formulas
6.10 The Newton-Cotes Formulas of Integration
Chapter 7 Dynamic Systems: Ordinary Differential Equations
7.2 Classification of Ordinary Differential Equations
7.3 Transformation to Canonical Form
7.4 Nonlinear Ordinary Differential Equations
7.5 Linear Ordinary Differential Equations
7.6 Steady-State Solutions and Stability Analysis
7.7 Numerical Stability and Error Propagation
7.8 Advanced Examples
Chapter 8 Dynamic Systems: Partial Differential Equations
8.2 Examples of PDEs in Biomedical Engineering
8.3 Classification of Partial Differential Equations
8.4 Initial and Boundary Conditions
8.5 Solution of Partial Differential Equations
8.6 Polar Coordinate Systems
8.7 Stability Analysis
8.8 PDE Toolbox in MATLAB
Part IV: Modeling Tools and Applications
Chapter 9 Measurements, Models and Statistics
9.1 The Role of Numerical Methods
9.2 Measurements, Errors and Uncertainty
9.3 Descriptive Statistics
9.4 Inferential Statistics
9.5 Least Squares Modeling
9.6 Curve Fitting
9.7 Fourier Transforms
Chapter 10 Modeling Biosystems
10.1 Numerical Modeling of Bioengineering Systems
10.2 PhysioNet, PhysioBank, and PhysioToolkit
10.2.1 ECG simulation
10.3 Signal Processing: EEG Data
10.4 Diabetes and Insulin Regulation
10.5 Renal Clearance
10.6 Correspondence Problems and Motion Estimation
10.7 PHYSBE Simulations
Appendices
Appendix A: Introduction to MATLAB
Appendix B: Introduction to Simulink
Appendix C: Review of Linear Algebra and Related MATLAB Commands
Appendix D: Analytical Solutions of Differential Equations
Appendix E: Numerical Stability and Other Topics
IndexNumerical methods in biomedical engineering [texte imprimé] / Stanley M. Dunn, Auteur ; Alkis Constantinides, Auteur ; Prabhas V. Moghe, Auteur . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2006 . - 615 p. : couv. ill. en coul., ill. ; 24,7 cm.. - (Academic Press Series in Biomedical Engineering) .
ISBN : 978-0-12-186031-8
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : Numerical Modeling in Biomedical Engineering brings together the integrative set of computational problem solving tools important to biomedical engineers. Through the use of comprehensive homework exercises, relevant examples and extensive case studies, this book integrates principles and techniques of numerical analysis. Covering biomechanical phenomena and physiologic, cell and molecular systems, this is an essential tool for students and all those studying biomedical transport, biomedical thermodynamics & kinetics and biomechanics.
· Supported by Whitaker Foundation Teaching Materials Program; ABET-oriented pedagogical layout
· MATLAB problem sets and examples available electronically; UNIX, Windows, Mac OS compatible
· Extensive hands-on homework exercisesNote de contenu : Table of contents
Preface
Organization and Outline of the Book
Part I: Fundamentals
Chapter 1 Modeling Biosystems
1.1 Biomedical Engineering
1.2 Fundamental Aspects of Biomedical Engineering
1.3 Constructing Engineering Models
1.4 Examples of Solving Biomedical Engineering Models by Computer
1.5 Overview of the Text
1.6 Lessons Learned in this Chapter
1.7 Problems
Chapter 2 Introduction to Computing
2.1 Introduction
2.2 The Role of Computers in Biomedical Engineering
2.3 Programming Language Tools and Techniques
2.4 Fundamentals of Data Structures for MATLAB
2.5 An Introduction to Object-Oriented Systems
2.6 Analyzing Algorithms and Programs
Chapter 3 Concepts of Numerical Analysis
3.1 Scientific Computing
3.2 Numerical Algorithms and Errors
3.3 Taylor Series
3.4 Keeping Errors Small
3.5 Floating-Point Representation in MATLAB
Part II: Steady-State Behavior
Chapter 4 Linear Models of Biological Systems
4.2 Examples of Linear Biological Systems
4.3 Simultaneous Linear Algebraic Equations
4.4 The Gauss-Jordan Reduction Method
4.5 Iterative Approach for Solution of Linear Systems
Chapter 5 Nonlinear Equations in Biomedical Engineering
5.2 General Form of Nonlinear Equations
5.3 Examples of Nonlinear Equations in Biomedical Engineering
5.4 The Method of Successive Substitution
5.5 The Method of False Position (Linear Interpolation)
5.6 The Newton-Raphson Method
5.7 Newton’s Method for Simultaneous Nonlinear Equations
Part III: Dynamic Behavior
Chapter 6 Finite Difference Methods, Interpolation and Integration
6.2 Symbolic Operators
6.3 Backward Finite Differences
6.4 Forward Finite Differences
6.5 Central Finite Differences
6.6 Interpolating Polynomials
6.7 Interpolation of Equally Spaced Points
6.8 Interpolation of Unequally Spaced Points
6.9 Integration Formulas
6.10 The Newton-Cotes Formulas of Integration
Chapter 7 Dynamic Systems: Ordinary Differential Equations
7.2 Classification of Ordinary Differential Equations
7.3 Transformation to Canonical Form
7.4 Nonlinear Ordinary Differential Equations
7.5 Linear Ordinary Differential Equations
7.6 Steady-State Solutions and Stability Analysis
7.7 Numerical Stability and Error Propagation
7.8 Advanced Examples
Chapter 8 Dynamic Systems: Partial Differential Equations
8.2 Examples of PDEs in Biomedical Engineering
8.3 Classification of Partial Differential Equations
8.4 Initial and Boundary Conditions
8.5 Solution of Partial Differential Equations
8.6 Polar Coordinate Systems
8.7 Stability Analysis
8.8 PDE Toolbox in MATLAB
Part IV: Modeling Tools and Applications
Chapter 9 Measurements, Models and Statistics
9.1 The Role of Numerical Methods
9.2 Measurements, Errors and Uncertainty
9.3 Descriptive Statistics
9.4 Inferential Statistics
9.5 Least Squares Modeling
9.6 Curve Fitting
9.7 Fourier Transforms
Chapter 10 Modeling Biosystems
10.1 Numerical Modeling of Bioengineering Systems
10.2 PhysioNet, PhysioBank, and PhysioToolkit
10.2.1 ECG simulation
10.3 Signal Processing: EEG Data
10.4 Diabetes and Insulin Regulation
10.5 Renal Clearance
10.6 Correspondence Problems and Motion Estimation
10.7 PHYSBE Simulations
Appendices
Appendix A: Introduction to MATLAB
Appendix B: Introduction to Simulink
Appendix C: Review of Linear Algebra and Related MATLAB Commands
Appendix D: Analytical Solutions of Differential Equations
Appendix E: Numerical Stability and Other Topics
IndexExemplaires
Code-barres Cote Support Localisation Section Disponibilité N.Inventaire 2559 35-04-03 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2559 2560 35-04-03 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2560 2031 35-04-03 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2031 2032 35-04-03 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2032
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 : Signals and systems for bioengineers : a MATLAB-based introduction Type de document : texte imprimé Auteurs : John Semmlow, Auteur Mention d'édition : 2nd. ed. Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2012 Collection : Academic Press Series in Biomedical Engineering Importance : 591p. Présentation : couv. ill. en coul., ill. Format : 24 cm. ISBN/ISSN/EAN : 978-0-12-384982-3 Langues : Français (fre) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : This book guides the reader through the electrical engineering principles that can be applied to biological systems and are therefore important to biomedical studies. The basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biosignal analysis are explained in detail.
This textbook is perfect for the one-semester bioengineering course usually offered in conjunction with a laboratory on signals and measurements which presents the fundamentals of systems and signal analysis. The target course occupies a pivotal position in the bioengineering curriculum and will play a critical role in the future development of bioengineering students. There are extensive questions and problems that are available through a companion site to enhance the learning experience.
New to this edition:
Reorganized to emphasize signal and system analysis
Increased coverage of time-domain signal analysis
Expanded coverage of biomeasurement, using examples in ultrasound and electrophysiology
New applications in biocontrol, with examples from physiological systems modeling such as the respiratory system
Double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools
More Biomedical and real-world examples
More biomedical figures throughout
For instructors using this text in their course, accompanying website includes support materials such as MATLAB data and functions needed to solve the problems, a few helpful routines, and all of the MATLAB examples. Visit www.elsevierdirect.com and search "Semmlow."Note de contenu : Contents:
I. SIGNALS
1. The Big Picture: Bioengineering Signals and Systems
2. Basic Concepts in Signal Processing
3. Fourier Transform: Introduction
4. The Fourier Transform and Power Spectrum: Implications and Applications
II. SYSTEMS
5. Linear Systems in the Frequency Domain: The Transfer Function
6. Linear Systems Analysis in the Complex Frequency Domain: the laplace transform and the analysis of transients
7. Linear Systems Analysis in the Time Domain: Convolution and Simulation
8. Linear System Analysis: Applications
III. CIRCUITS
9. Circuit Elements and Circuit Variables
10. Analysis of Analog Circuits and Models
11. Circuit Reduction: Simplifications
12. Basic Analog Electronics: Operational Amplifiers
A: Derivations
B: Laplace Transforms and Properties of the Fourier Transform
C: Trigonometric and Other Formulae
D: Conversion Factors: Units
E: Complex Arithmetic
F: LF356 Specifications
G: Determinants and Cramer’s Rule
Bibliography
Index
Signals and systems for bioengineers : a MATLAB-based introduction [texte imprimé] / John Semmlow, Auteur . - 2nd. ed. . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2012 . - 591p. : couv. ill. en coul., ill. ; 24 cm.. - (Academic Press Series in Biomedical Engineering) .
ISBN : 978-0-12-384982-3
Langues : Français (fre)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-04 Modélisation des systèmes physiologiques Résumé : This book guides the reader through the electrical engineering principles that can be applied to biological systems and are therefore important to biomedical studies. The basic engineering concepts that underlie biomedical systems, medical devices, biocontrol, and biosignal analysis are explained in detail.
This textbook is perfect for the one-semester bioengineering course usually offered in conjunction with a laboratory on signals and measurements which presents the fundamentals of systems and signal analysis. The target course occupies a pivotal position in the bioengineering curriculum and will play a critical role in the future development of bioengineering students. There are extensive questions and problems that are available through a companion site to enhance the learning experience.
New to this edition:
Reorganized to emphasize signal and system analysis
Increased coverage of time-domain signal analysis
Expanded coverage of biomeasurement, using examples in ultrasound and electrophysiology
New applications in biocontrol, with examples from physiological systems modeling such as the respiratory system
Double the number of Matlab and non-Matlab exercises to provide ample practice solving problems - by hand and with computational tools
More Biomedical and real-world examples
More biomedical figures throughout
For instructors using this text in their course, accompanying website includes support materials such as MATLAB data and functions needed to solve the problems, a few helpful routines, and all of the MATLAB examples. Visit www.elsevierdirect.com and search "Semmlow."Note de contenu : Contents:
I. SIGNALS
1. The Big Picture: Bioengineering Signals and Systems
2. Basic Concepts in Signal Processing
3. Fourier Transform: Introduction
4. The Fourier Transform and Power Spectrum: Implications and Applications
II. SYSTEMS
5. Linear Systems in the Frequency Domain: The Transfer Function
6. Linear Systems Analysis in the Complex Frequency Domain: the laplace transform and the analysis of transients
7. Linear Systems Analysis in the Time Domain: Convolution and Simulation
8. Linear System Analysis: Applications
III. CIRCUITS
9. Circuit Elements and Circuit Variables
10. Analysis of Analog Circuits and Models
11. Circuit Reduction: Simplifications
12. Basic Analog Electronics: Operational Amplifiers
A: Derivations
B: Laplace Transforms and Properties of the Fourier Transform
C: Trigonometric and Other Formulae
D: Conversion Factors: Units
E: Complex Arithmetic
F: LF356 Specifications
G: Determinants and Cramer’s Rule
Bibliography
Index
Exemplaires
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