The Resource Modelling methodology for physiology and medicine, Ewart Carson, Claudio Cobelli, editors, (electronic resource)

Modelling methodology for physiology and medicine, Ewart Carson, Claudio Cobelli, editors, (electronic resource)

Label
Modelling methodology for physiology and medicine
Title
Modelling methodology for physiology and medicine
Statement of responsibility
Ewart Carson, Claudio Cobelli, editors
Contributor
Subject
Genre
Language
  • eng
  • eng
Summary
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 knowled
Member of
Cataloging source
MiAaPQ
Dewey number
  • 571.015118
  • 571/.01/5118 21
Index
index present
Language note
English
LC call number
QP33.6.M36
LC item number
M63 2001
Literary form
non fiction
Nature of contents
  • dictionaries
  • bibliography
http://library.link/vocab/relatedWorkOrContributorName
  • Carson, Ewart R
  • Cobelli, Claudio
Series statement
Biomedical Engineering
http://library.link/vocab/subjectName
  • Physiology
  • Medicine
Label
Modelling methodology for physiology and medicine, Ewart Carson, Claudio Cobelli, editors, (electronic resource)
Instantiates
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • Front Cover; Modelling Methodology for Physiology and Medicine; Copyright Page; Contents; List of Contributors; Preface; 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; 1.6 Model Validation; 1.7 Reference; 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
  • 2.6 Conclusions2.7 References; 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; 3.8 References; 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; 4.7 Conclusions; 4.8 References
  • Appendix A: The Characteristic SetAppendix 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; 5.6 References; 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; 6.7 Conclusions; 6.8 References
  • Chapter 7. Physiological Modelling of Positron Emission Tomography Images7.1 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; 7.7 Conclusions; 7.8 References; 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 Windkessel Resolves Them); 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; 8.10 Conclusions; 8.11 References
  • Chapter 9. Mathematical Modelling of Pulmonary Gas Exchange
Dimensions
unknown
Extent
1 online resource (437 p.)
Form of item
online
Isbn
9781281036131
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (CKB)1000000000364555
  • (EBL)311483
  • (OCoLC)162571291
  • (SSID)ssj0000204070
  • (PQKBManifestationID)12047952
  • (PQKBTitleCode)TC0000204070
  • (PQKBWorkID)10175167
  • (PQKB)11490104
  • (MiAaPQ)EBC311483
  • (EXLCZ)991000000000364555
Label
Modelling methodology for physiology and medicine, Ewart Carson, Claudio Cobelli, editors, (electronic resource)
Publication
Note
Description based upon print version of record
Bibliography note
Includes bibliographical references and index
Carrier category
online resource
Carrier category code
cr
Content category
text
Content type code
txt
Contents
  • Front Cover; Modelling Methodology for Physiology and Medicine; Copyright Page; Contents; List of Contributors; Preface; 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; 1.6 Model Validation; 1.7 Reference; 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
  • 2.6 Conclusions2.7 References; 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; 3.8 References; 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; 4.7 Conclusions; 4.8 References
  • Appendix A: The Characteristic SetAppendix 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; 5.6 References; 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; 6.7 Conclusions; 6.8 References
  • Chapter 7. Physiological Modelling of Positron Emission Tomography Images7.1 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; 7.7 Conclusions; 7.8 References; 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 Windkessel Resolves Them); 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; 8.10 Conclusions; 8.11 References
  • Chapter 9. Mathematical Modelling of Pulmonary Gas Exchange
Dimensions
unknown
Extent
1 online resource (437 p.)
Form of item
online
Isbn
9781281036131
Media category
computer
Media type code
c
Specific material designation
remote
System control number
  • (CKB)1000000000364555
  • (EBL)311483
  • (OCoLC)162571291
  • (SSID)ssj0000204070
  • (PQKBManifestationID)12047952
  • (PQKBTitleCode)TC0000204070
  • (PQKBWorkID)10175167
  • (PQKB)11490104
  • (MiAaPQ)EBC311483
  • (EXLCZ)991000000000364555

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