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Titre : Biomedical Information Technology Type de document : texte imprimé Auteurs : David Dagan Feng, Auteur Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2008 Collection : Academic Press Series in Biomedical Engineering Importance : 525 p. Présentation : couv. ill. en coul., ill. Format : 28,5 cm ISBN/ISSN/EAN : 978-0-12-373583-6 Langues : Anglais (eng) Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-09 Informatique biomédicale Résumé : The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. The field continues to evolve with the development of new applications to fit the needs of the biomedicine. From molecular imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical research and practice.
All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modelling, processing, registration, visualization, communication, and large-scale biological computing. In addition Biomedical Information Technology contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging applications.
The world's most recognized authorities give their "best practices" ready for implementation
Provides professionals with the most up to date and mission critical tools to evaluate the latest advances in the field and current integrated clinical applications
Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applicationsNote de contenu : Contents
Section I: Technological Fundamentals
Chapter 1: Medical Imaging
Chapter 2: Electronic Medical Records
Chapter 3: Image Data Compression and Storage
Chapter 4: Content-Based Medical Image Retrieval
Chapter 5: Data Modeling and Simulation
Chapter 6: Techniques for Parametric Imaging
Chapter 7: Data Processing and Analysis
Chapter 8: Data Registration and Fusion
Chapter 9: Data Visualization and Display
Chapter 10: Data Communication and Network Infrastructure
Chapter 11: Data Security and Protection for Medical Images
Chapter 12: Biologic Computing
SECTION II: Integrated applications
Chapter 13: PACS and Medical Imaging Informatics for Filmless hospitals
Chapter 14: KMeX: A Knowledge-Based Digital Library for Retrieving scenario-specific Medical text documents
Chapter 15: Integrated Multimedia Patient Record Systems
Chapter 16: Computer-Aided Diagnosis
Chapter 17: Clinical Decision Support Systems
Chapter 18: Medical Robotics and Computer-Integrated Interventional medicine
Chapter 19: Functional Techniques for Brain Magnetic Resonance imaging
Chapter 20: Molecular Imaging in Cancer
Chapter 21: Molecular Imaging in Biology and Pharmacology
Chapter 22: From Telemedicine to Ubiquitous M-Health: The E-health systems
Chapter 23: Multimedia for Future Health-Smart Medical Home
Index
Biomedical Information Technology [texte imprimé] / David Dagan Feng, Auteur . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2008 . - 525 p. : couv. ill. en coul., ill. ; 28,5 cm. - (Academic Press Series in Biomedical Engineering) .
ISBN : 978-0-12-373583-6
Langues : Anglais (eng)
Catégories : GÉNIE BIOMÉDICAL Index. décimale : 35-09 Informatique biomédicale Résumé : The enormous growth in the field of biotechnology necessitates the utilization of information technology for the management, flow and organization of data. The field continues to evolve with the development of new applications to fit the needs of the biomedicine. From molecular imaging to healthcare knowledge management, the storage, access and analysis of data contributes significantly to biomedical research and practice.
All biomedical professionals can benefit from a greater understanding of how data can be efficiently managed and utilized through data compression, modelling, processing, registration, visualization, communication, and large-scale biological computing. In addition Biomedical Information Technology contains practical integrated clinical applications for disease detection, diagnosis, surgery, therapy, and biomedical knowledge discovery, including the latest advances in the field, such as ubiquitous M-Health systems and molecular imaging applications.
The world's most recognized authorities give their "best practices" ready for implementation
Provides professionals with the most up to date and mission critical tools to evaluate the latest advances in the field and current integrated clinical applications
Gives new staff the technological fundamentals and updates experienced professionals with the latest practical integrated clinical applicationsNote de contenu : Contents
Section I: Technological Fundamentals
Chapter 1: Medical Imaging
Chapter 2: Electronic Medical Records
Chapter 3: Image Data Compression and Storage
Chapter 4: Content-Based Medical Image Retrieval
Chapter 5: Data Modeling and Simulation
Chapter 6: Techniques for Parametric Imaging
Chapter 7: Data Processing and Analysis
Chapter 8: Data Registration and Fusion
Chapter 9: Data Visualization and Display
Chapter 10: Data Communication and Network Infrastructure
Chapter 11: Data Security and Protection for Medical Images
Chapter 12: Biologic Computing
SECTION II: Integrated applications
Chapter 13: PACS and Medical Imaging Informatics for Filmless hospitals
Chapter 14: KMeX: A Knowledge-Based Digital Library for Retrieving scenario-specific Medical text documents
Chapter 15: Integrated Multimedia Patient Record Systems
Chapter 16: Computer-Aided Diagnosis
Chapter 17: Clinical Decision Support Systems
Chapter 18: Medical Robotics and Computer-Integrated Interventional medicine
Chapter 19: Functional Techniques for Brain Magnetic Resonance imaging
Chapter 20: Molecular Imaging in Cancer
Chapter 21: Molecular Imaging in Biology and Pharmacology
Chapter 22: From Telemedicine to Ubiquitous M-Health: The E-health systems
Chapter 23: Multimedia for Future Health-Smart Medical Home
Index
Exemplaires(2)
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Titre : Digital Signal Processing System Design : labVIEW-based hybrid programming Type de document : texte imprimé Auteurs : Nasser Kehtarnavaz, Auteur Mention d'édition : 2nd. ed. Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2008 Importance : 325 p. Présentation : couv. ill. en coul., ill. Format : 23,5 cm. Accompagnement : CD-ROM ISBN/ISSN/EAN : 978-0-12-374490-6 Langues : Anglais (eng) Catégories : AUTOMATISME Index. décimale : 25-05 Application du traitement numérique du signal Note de contenu : Contents
Chapter 1: Introduction
Chapter 2: LabVIEW Graphical Programming Environment
Lab 1 Getting Familiar with LabVIEW: Part I
Lab 2 Getting Familiar with LabVIEW: Part II
Chapter 3: Analog-to-Digital Signal Conversion
Lab 3 Sampling, Quantization, and Reconstruction
Chapter 4: Digital Filtering
Lab 4 FIR/IIR Filtering System Design
Chapter 5: Fixed-Point versus Floating-Point
Lab 5 Data Type and Scaling
Chapter 6: Adaptive Filtering
Lab 6 Adaptive Filtering Systems
Chapter 7: Frequency Domain Processing
Lab 7 FFT, STFT, and DWT
Chapter 8: DSP Implementation Platform: TMS320C6x Architecture and software tools
Lab 8 Getting Familiar with Code Composer Studio
Chapter 9: LabVIEW DSP Integration
Lab 9 DSP Integration Examples
Chapter 10: DSP System Design: Dual Tone Multi-Frequency (DTMF) signaling
Lab 10 Hybrid Programming of Dual Tone Multi-Frequency System
Chapter 11: DSP System Design: Software-Defined Radio
Lab 11 Hybrid Programming of a 4-QAM Modem System
Chapter 12: DSP System Design: Cochlear Implant Simulator
Lab 12 Hybrid Programming of Cochlear Implant Simulator System
Index
Digital Signal Processing System Design : labVIEW-based hybrid programming [texte imprimé] / Nasser Kehtarnavaz, Auteur . - 2nd. ed. . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2008 . - 325 p. : couv. ill. en coul., ill. ; 23,5 cm. + CD-ROM.
ISBN : 978-0-12-374490-6
Langues : Anglais (eng)
Catégories : AUTOMATISME Index. décimale : 25-05 Application du traitement numérique du signal Note de contenu : Contents
Chapter 1: Introduction
Chapter 2: LabVIEW Graphical Programming Environment
Lab 1 Getting Familiar with LabVIEW: Part I
Lab 2 Getting Familiar with LabVIEW: Part II
Chapter 3: Analog-to-Digital Signal Conversion
Lab 3 Sampling, Quantization, and Reconstruction
Chapter 4: Digital Filtering
Lab 4 FIR/IIR Filtering System Design
Chapter 5: Fixed-Point versus Floating-Point
Lab 5 Data Type and Scaling
Chapter 6: Adaptive Filtering
Lab 6 Adaptive Filtering Systems
Chapter 7: Frequency Domain Processing
Lab 7 FFT, STFT, and DWT
Chapter 8: DSP Implementation Platform: TMS320C6x Architecture and software tools
Lab 8 Getting Familiar with Code Composer Studio
Chapter 9: LabVIEW DSP Integration
Lab 9 DSP Integration Examples
Chapter 10: DSP System Design: Dual Tone Multi-Frequency (DTMF) signaling
Lab 10 Hybrid Programming of Dual Tone Multi-Frequency System
Chapter 11: DSP System Design: Software-Defined Radio
Lab 11 Hybrid Programming of a 4-QAM Modem System
Chapter 12: DSP System Design: Cochlear Implant Simulator
Lab 12 Hybrid Programming of Cochlear Implant Simulator System
Index
Exemplaires(2)
Code-barres Cote Support Localisation Section Disponibilité 2457 25-05-96 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2458 25-05-96 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt
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(4)
Code-barres Cote Support Localisation Section Disponibilité 2562 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2561 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2553 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2554 35-01-02 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt
Titre : Introduction to Microcontrollers : architecture, programming, and interfacing for the freescale 68hc12 Type de document : texte imprimé Auteurs : G.J. Lipovski, Auteur Mention d'édition : 2nd. ed. Editeur : Amsterdam,Boston,Heidelberg... : Elsevier Academic Press Année de publication : 2004 Importance : 451 p. Présentation : couv. ill. en coul., ill. Format : 25,9 cm. Accompagnement : CD-ROM ISBN/ISSN/EAN : 978-0-12-451838-4 Langues : Anglais (eng) Catégories : MICRO INFORMATIQUE Index. décimale : 24-03 Programmation des microsystèmes et microprocesseurs Résumé : Introduction to Microcontrollers is a comprehensive, introductory text/reference for electrical and computer engineers and students with little experience with a high-level programming language. It systematically teaches the programming of a microcontroller in assembly language, as well as C and C++. This books also covers the principles of good programming practice through top-down design and the use of data structures. It is suitable as an introductory text for a first course on microcomputers that demonstrates what a small computer can do. This book goes a long way toward developing the essential skills that will make students successful computer engineers
.Shows how a computer executes instructions;
.Shows how a high-level programming language converts to assembler language;
.Shows how a microcontroller is interfaced to the outside world;
.Hundreds of examples, experiments, "brain-teasers" and motivators;
.More than 20 exercises at the end of each chapter
.Complete solutions manual and PowerPoint slides available for instructors
.CD includes example code from book as well as the Metro Werks Code Warrior C++ compiler
Note de contenu : Contents
Chapter 1 Basic Computer Structure and the 6812.
Chapter 2 The Instruction Set.
Chapter 3 Addressing Modes.
Chapter 4 Assembly Language Programming.
Chapter 5 Advanced Assemblers, Linkers, and Loaders.
Chapter 6 Assembly Language Subroutines.
Chapter 7 Arithmetic Operations.
Chapter 8 Programming in C and C++.
Chapter 9 Implementation of C Procedures.
Chapter 10 Elementary Data Structures.
Chapter 11 Input/Output.
Chapter 12 Other Microcontrollers.
Appendix 1 Number representations and binary arithmetic
Appendix 2 Sequential machine interpreters
Appendix 3 Using metrowerks code warriorIntroduction to Microcontrollers : architecture, programming, and interfacing for the freescale 68hc12 [texte imprimé] / G.J. Lipovski, Auteur . - 2nd. ed. . - Amsterdam,Boston,Heidelberg... : Elsevier Academic Press, 2004 . - 451 p. : couv. ill. en coul., ill. ; 25,9 cm. + CD-ROM.
ISBN : 978-0-12-451838-4
Langues : Anglais (eng)
Catégories : MICRO INFORMATIQUE Index. décimale : 24-03 Programmation des microsystèmes et microprocesseurs Résumé : Introduction to Microcontrollers is a comprehensive, introductory text/reference for electrical and computer engineers and students with little experience with a high-level programming language. It systematically teaches the programming of a microcontroller in assembly language, as well as C and C++. This books also covers the principles of good programming practice through top-down design and the use of data structures. It is suitable as an introductory text for a first course on microcomputers that demonstrates what a small computer can do. This book goes a long way toward developing the essential skills that will make students successful computer engineers
.Shows how a computer executes instructions;
.Shows how a high-level programming language converts to assembler language;
.Shows how a microcontroller is interfaced to the outside world;
.Hundreds of examples, experiments, "brain-teasers" and motivators;
.More than 20 exercises at the end of each chapter
.Complete solutions manual and PowerPoint slides available for instructors
.CD includes example code from book as well as the Metro Werks Code Warrior C++ compiler
Note de contenu : Contents
Chapter 1 Basic Computer Structure and the 6812.
Chapter 2 The Instruction Set.
Chapter 3 Addressing Modes.
Chapter 4 Assembly Language Programming.
Chapter 5 Advanced Assemblers, Linkers, and Loaders.
Chapter 6 Assembly Language Subroutines.
Chapter 7 Arithmetic Operations.
Chapter 8 Programming in C and C++.
Chapter 9 Implementation of C Procedures.
Chapter 10 Elementary Data Structures.
Chapter 11 Input/Output.
Chapter 12 Other Microcontrollers.
Appendix 1 Number representations and binary arithmetic
Appendix 2 Sequential machine interpreters
Appendix 3 Using metrowerks code warriorExemplaires(1)
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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(2)
Code-barres Cote Support Localisation Section Disponibilité 2567 35-04-04 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt 2568 35-04-04 Livre Bibliothèque de Génie Electrique- USTO Documentaires Exclu du prêt PermalinkPermalinkPermalinkPermalinkPermalinkPermalinkPermalink
