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Fractal physiology and chaos in medicine [[electronic resource] /] / Bruce J. West
Fractal physiology and chaos in medicine [[electronic resource] /] / Bruce J. West
Autore West Bruce J
Edizione [2nd ed.]
Pubbl/distr/stampa Singapore ; ; London, : World Scientific, 2013
Descrizione fisica 1 online resource (345 p.)
Disciplina 610.151539
612.0154
612/.0154
Collana Studies of nonlinear phenomena in life sciences
Soggetto topico Chaotic behavior in systems
Fractals
Medicine - Mathematical models
Physiology - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 1-299-28117-6
981-4417-80-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Preface; 1 Introduction; 1.1 What is Linearity?; 1.2 Why Uncertainty?; 1.3 How Does Nonlinearity Change Our View?; 1.4 Complex Networks; 1.5 Summary and a Look Forward; 2 Physiology in Fractal Dimensions; 2.1 Complexity and the Lung; 2.2 The Principle of Similitude; 2.2.1 Fractals, Self-similarity and Renormalization; 2.2.2 Fractal Lungs; 2.2.3 Why fractal transport?; 2.3 Allometry Relations; 2.3.1 Empirical Allometry; 2.3.2 WBE model; 2.3.3 WW model; 2.4 Fractal Signals; 2.4.1 Spectral decomposition; 2.5 Summary; 3 Dynamics in Fractal Dimensions; 3.1 Nonlinear Bio-oscillators
3.1.1 Super Central Pattern Generator (SCPG) model of gait3.1.2 The cardiac oscillator; 3.1.3 Strange attractors (deterministic randomness); 3.2 Nonlinear Bio-mapping; 3.2.1 One-dimensional maps; 3.2.2 Two-dimensional maps; 3.2.3 The Lyapunov exponent; 3.3 Measures of Strange Attractors; 3.3.1 Correlational dimension; 3.3.2 Attractor reconstruction from data; 3.3.3 Chaotic attractors and false alarms; 3.4 Summary and perspective; 4 Statistics in Fractal Dimensions; 4.1 Complexity and Unpredictability; 4.1.1 Scaling Measures; 4.2 Fractal Stochastic Dynamics; 4.2.1 Simple Random Walks
4.2.2 Fractional random walks and scaling4.2.3 Physical/physiological models; 4.3 Physiologic Time Series; 4.3.1 Heart Rate Variability (HRV); 4.3.2 Breath rate variability (BRV); 4.3.3 Stride rate variability (SRV); 4.4 Summary and Viewpoint; 5 Applications of Chaotic Attractors; 5.1 The Dynamics of Epidemics; 5.2 Chaotic Neurons; 5.3 Chemical Chaos; 5.4 Cardiac Chaos; 5.5 EEG Data and Brain Dynamics; 5.5.1 Normal activity; 5.5.2 Epilepsy: reducing the dimension; 5.5.3 Task-related scaling; 5.6 Retrospective; 6 Physiological Networks: The Final Chapter?; 6.1 Introduction to Complex Networks
6.1.1 A little history6.1.2 Inverse power laws; 6.2 The Decision Making Model (DMM); 6.2.1 Topological Complexity; 6.2.2 Temporal Complexity; 6.3 Criticality; 6.3.1 Neuronal Avalanches; 6.3.2 Multiple Organ Dysfunction Syndrome (MODS); 6.4 Finale; References; Index
Record Nr. UNINA-9910465413703321
West Bruce J  
Singapore ; ; London, : World Scientific, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fractal physiology and chaos in medicine [[electronic resource] /] / Bruce J. West
Fractal physiology and chaos in medicine [[electronic resource] /] / Bruce J. West
Autore West Bruce J
Edizione [2nd ed.]
Pubbl/distr/stampa Singapore ; ; London, : World Scientific, 2013
Descrizione fisica 1 online resource (345 p.)
Disciplina 610.151539
612.0154
612/.0154
Collana Studies of nonlinear phenomena in life sciences
Soggetto topico Chaotic behavior in systems
Fractals
Medicine - Mathematical models
Physiology - Mathematical models
ISBN 1-299-28117-6
981-4417-80-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Preface; 1 Introduction; 1.1 What is Linearity?; 1.2 Why Uncertainty?; 1.3 How Does Nonlinearity Change Our View?; 1.4 Complex Networks; 1.5 Summary and a Look Forward; 2 Physiology in Fractal Dimensions; 2.1 Complexity and the Lung; 2.2 The Principle of Similitude; 2.2.1 Fractals, Self-similarity and Renormalization; 2.2.2 Fractal Lungs; 2.2.3 Why fractal transport?; 2.3 Allometry Relations; 2.3.1 Empirical Allometry; 2.3.2 WBE model; 2.3.3 WW model; 2.4 Fractal Signals; 2.4.1 Spectral decomposition; 2.5 Summary; 3 Dynamics in Fractal Dimensions; 3.1 Nonlinear Bio-oscillators
3.1.1 Super Central Pattern Generator (SCPG) model of gait3.1.2 The cardiac oscillator; 3.1.3 Strange attractors (deterministic randomness); 3.2 Nonlinear Bio-mapping; 3.2.1 One-dimensional maps; 3.2.2 Two-dimensional maps; 3.2.3 The Lyapunov exponent; 3.3 Measures of Strange Attractors; 3.3.1 Correlational dimension; 3.3.2 Attractor reconstruction from data; 3.3.3 Chaotic attractors and false alarms; 3.4 Summary and perspective; 4 Statistics in Fractal Dimensions; 4.1 Complexity and Unpredictability; 4.1.1 Scaling Measures; 4.2 Fractal Stochastic Dynamics; 4.2.1 Simple Random Walks
4.2.2 Fractional random walks and scaling4.2.3 Physical/physiological models; 4.3 Physiologic Time Series; 4.3.1 Heart Rate Variability (HRV); 4.3.2 Breath rate variability (BRV); 4.3.3 Stride rate variability (SRV); 4.4 Summary and Viewpoint; 5 Applications of Chaotic Attractors; 5.1 The Dynamics of Epidemics; 5.2 Chaotic Neurons; 5.3 Chemical Chaos; 5.4 Cardiac Chaos; 5.5 EEG Data and Brain Dynamics; 5.5.1 Normal activity; 5.5.2 Epilepsy: reducing the dimension; 5.5.3 Task-related scaling; 5.6 Retrospective; 6 Physiological Networks: The Final Chapter?; 6.1 Introduction to Complex Networks
6.1.1 A little history6.1.2 Inverse power laws; 6.2 The Decision Making Model (DMM); 6.2.1 Topological Complexity; 6.2.2 Temporal Complexity; 6.3 Criticality; 6.3.1 Neuronal Avalanches; 6.3.2 Multiple Organ Dysfunction Syndrome (MODS); 6.4 Finale; References; Index
Record Nr. UNINA-9910792055203321
West Bruce J  
Singapore ; ; London, : World Scientific, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Fractal physiology and chaos in medicine / / Bruce J. West
Fractal physiology and chaos in medicine / / Bruce J. West
Autore West Bruce J
Edizione [2nd ed.]
Pubbl/distr/stampa Singapore ; ; London, : World Scientific, 2013
Descrizione fisica 1 online resource (345 p.)
Disciplina 610.151539
612.0154
612/.0154
Collana Studies of nonlinear phenomena in life sciences
Soggetto topico Chaotic behavior in systems
Fractals
Medicine - Mathematical models
Physiology - Mathematical models
ISBN 1-299-28117-6
981-4417-80-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Contents; Preface; 1 Introduction; 1.1 What is Linearity?; 1.2 Why Uncertainty?; 1.3 How Does Nonlinearity Change Our View?; 1.4 Complex Networks; 1.5 Summary and a Look Forward; 2 Physiology in Fractal Dimensions; 2.1 Complexity and the Lung; 2.2 The Principle of Similitude; 2.2.1 Fractals, Self-similarity and Renormalization; 2.2.2 Fractal Lungs; 2.2.3 Why fractal transport?; 2.3 Allometry Relations; 2.3.1 Empirical Allometry; 2.3.2 WBE model; 2.3.3 WW model; 2.4 Fractal Signals; 2.4.1 Spectral decomposition; 2.5 Summary; 3 Dynamics in Fractal Dimensions; 3.1 Nonlinear Bio-oscillators
3.1.1 Super Central Pattern Generator (SCPG) model of gait3.1.2 The cardiac oscillator; 3.1.3 Strange attractors (deterministic randomness); 3.2 Nonlinear Bio-mapping; 3.2.1 One-dimensional maps; 3.2.2 Two-dimensional maps; 3.2.3 The Lyapunov exponent; 3.3 Measures of Strange Attractors; 3.3.1 Correlational dimension; 3.3.2 Attractor reconstruction from data; 3.3.3 Chaotic attractors and false alarms; 3.4 Summary and perspective; 4 Statistics in Fractal Dimensions; 4.1 Complexity and Unpredictability; 4.1.1 Scaling Measures; 4.2 Fractal Stochastic Dynamics; 4.2.1 Simple Random Walks
4.2.2 Fractional random walks and scaling4.2.3 Physical/physiological models; 4.3 Physiologic Time Series; 4.3.1 Heart Rate Variability (HRV); 4.3.2 Breath rate variability (BRV); 4.3.3 Stride rate variability (SRV); 4.4 Summary and Viewpoint; 5 Applications of Chaotic Attractors; 5.1 The Dynamics of Epidemics; 5.2 Chaotic Neurons; 5.3 Chemical Chaos; 5.4 Cardiac Chaos; 5.5 EEG Data and Brain Dynamics; 5.5.1 Normal activity; 5.5.2 Epilepsy: reducing the dimension; 5.5.3 Task-related scaling; 5.6 Retrospective; 6 Physiological Networks: The Final Chapter?; 6.1 Introduction to Complex Networks
6.1.1 A little history6.1.2 Inverse power laws; 6.2 The Decision Making Model (DMM); 6.2.1 Topological Complexity; 6.2.2 Temporal Complexity; 6.3 Criticality; 6.3.1 Neuronal Avalanches; 6.3.2 Multiple Organ Dysfunction Syndrome (MODS); 6.4 Finale; References; Index
Record Nr. UNINA-9910811216703321
West Bruce J  
Singapore ; ; London, : World Scientific, 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Identification of nonlinear physiological systems / / David T. Westwick, Robert E. Kearney
Identification of nonlinear physiological systems / / David T. Westwick, Robert E. Kearney
Autore Westwick David T.
Pubbl/distr/stampa [Piscataway, New Jersey?] : , : IEEE Press, , c2003
Descrizione fisica 1 PDF (xii, 261 pages) : illustrations
Disciplina 612/.01/5118
Altri autori (Persone) KearneyRobert E. <1947->
Collana IEEE Press series on biomedical engineering
Soggetto topico Physiology - Mathematical models
Nonlinear systems
Statistics as Topic
Nonlinear Dynamics
Computer Simulation
Models, Biological
Physiological Phenomena
Health Care Evaluation Mechanisms
Computing Methodologies
Models, Theoretical
Phenomena and Processes
Epidemiologic Methods
Mathematics
Investigative Techniques
Natural Science Disciplines
Public Health
Information Science
Quality of Health Care
Disciplines and Occupations
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Health Care Quality, Access, and Evaluation
Environment and Public Health
Health Care
Physiology
Human Anatomy & Physiology
Health & Biological Sciences
Soggetto non controllato Systems Engineering
ISBN 1-280-55705-2
9786610557059
0-471-72295-2
0-471-72296-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. -- 1. Introduction. -- 1.1 Signals. -- 1.2 Systems and Models. -- 1.3 System Modeling. -- 1.4 System Identification. -- 1.5 How Common are Nonlinear Systems? -- 2. Background. -- 2.1 Vectors and Matrices. -- 2.2 Gaussian Random Variables. -- 2.3 Correlation Functions. -- 2.4 Mean-Square Parameter Estimation. -- 2.5 Polynomials. -- 2.6 Notes and References. -- 2.7 Problems. -- 2.8 Computer Exercises. -- 3. Models of Linear Systems. -- 3.1 Linear Systems. -- 3.2 Nonparametric Models. -- 3.3 Parametric Models. -- 3.4 State-Space Models. -- 3.5 Notes and References. -- 3.6 Theoretical Problems. -- 3.7 Computer Exercises. -- 4. Models of Nonlinear Systems. -- 4.1 The Volterra Series. -- 4.2 The Wiener Series. -- 4.3 Simple Block Structures. -- 4.4 Parallel Cascades. -- 4.5 The Wiener-Bose Model. -- 4.6 Notes and References. -- 4.7 Theoretical Problems. -- 4.8 Computer Exercises. -- 5. Identification of Linear Systems. -- 5.1 Introduction. -- 5.2 Nonparametric Time-Domain Models. -- 5.3 Frequency Response Estimation. -- 5.4 Parametric Methods. -- 5.5 Notesand References. -- 5.6 Computer Exercises. -- 6. Correlation-Based Methods. -- 6.1 Methods for Functional Expansions. -- 6.2 Block Structured Models. -- 6.3 Problems. -- 6.4 Computer Exercises. -- 7. Explicit Least-Squares Methods. -- 7.1 Introduction. -- 7.2 The Orthogonal Algorithms. -- 7.3 Expansion Bases. -- 7.4 Principal Dynamic Modes. -- 7.5 Problems. -- 7.6 Computer Exercises. -- 8. Iterative Least-Squares Methods. -- 8.1 Optimization Methods. -- 8.2 Parallel Cascade Methods. -- 8.3 Application: Visual Processing in the Light Adapted Fly Retina. -- 8.4 Problems -- 8.5 Computer Exercises. -- References. -- Index. -- IEEE Press Series in Biomedical Engineering.
Record Nr. UNINA-9910145766603321
Westwick David T.  
[Piscataway, New Jersey?] : , : IEEE Press, , c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Identification of nonlinear physiological systems / / David T. Westwick, Robert E. Kearney
Identification of nonlinear physiological systems / / David T. Westwick, Robert E. Kearney
Autore Westwick David T.
Pubbl/distr/stampa [Piscataway, New Jersey?] : , : IEEE Press, , c2003
Descrizione fisica 1 PDF (xii, 261 pages) : illustrations
Disciplina 612/.01/5118
Altri autori (Persone) KearneyRobert E. <1947->
Collana IEEE Press series on biomedical engineering
Soggetto topico Physiology - Mathematical models
Nonlinear systems
Statistics as Topic
Nonlinear Dynamics
Computer Simulation
Models, Biological
Physiological Phenomena
Health Care Evaluation Mechanisms
Computing Methodologies
Models, Theoretical
Phenomena and Processes
Epidemiologic Methods
Mathematics
Investigative Techniques
Natural Science Disciplines
Public Health
Information Science
Quality of Health Care
Disciplines and Occupations
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Health Care Quality, Access, and Evaluation
Environment and Public Health
Health Care
Physiology
Human Anatomy & Physiology
Health & Biological Sciences
Soggetto non controllato Systems Engineering
ISBN 1-280-55705-2
9786610557059
0-471-72295-2
0-471-72296-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. -- 1. Introduction. -- 1.1 Signals. -- 1.2 Systems and Models. -- 1.3 System Modeling. -- 1.4 System Identification. -- 1.5 How Common are Nonlinear Systems? -- 2. Background. -- 2.1 Vectors and Matrices. -- 2.2 Gaussian Random Variables. -- 2.3 Correlation Functions. -- 2.4 Mean-Square Parameter Estimation. -- 2.5 Polynomials. -- 2.6 Notes and References. -- 2.7 Problems. -- 2.8 Computer Exercises. -- 3. Models of Linear Systems. -- 3.1 Linear Systems. -- 3.2 Nonparametric Models. -- 3.3 Parametric Models. -- 3.4 State-Space Models. -- 3.5 Notes and References. -- 3.6 Theoretical Problems. -- 3.7 Computer Exercises. -- 4. Models of Nonlinear Systems. -- 4.1 The Volterra Series. -- 4.2 The Wiener Series. -- 4.3 Simple Block Structures. -- 4.4 Parallel Cascades. -- 4.5 The Wiener-Bose Model. -- 4.6 Notes and References. -- 4.7 Theoretical Problems. -- 4.8 Computer Exercises. -- 5. Identification of Linear Systems. -- 5.1 Introduction. -- 5.2 Nonparametric Time-Domain Models. -- 5.3 Frequency Response Estimation. -- 5.4 Parametric Methods. -- 5.5 Notesand References. -- 5.6 Computer Exercises. -- 6. Correlation-Based Methods. -- 6.1 Methods for Functional Expansions. -- 6.2 Block Structured Models. -- 6.3 Problems. -- 6.4 Computer Exercises. -- 7. Explicit Least-Squares Methods. -- 7.1 Introduction. -- 7.2 The Orthogonal Algorithms. -- 7.3 Expansion Bases. -- 7.4 Principal Dynamic Modes. -- 7.5 Problems. -- 7.6 Computer Exercises. -- 8. Iterative Least-Squares Methods. -- 8.1 Optimization Methods. -- 8.2 Parallel Cascade Methods. -- 8.3 Application: Visual Processing in the Light Adapted Fly Retina. -- 8.4 Problems -- 8.5 Computer Exercises. -- References. -- Index. -- IEEE Press Series in Biomedical Engineering.
Record Nr. UNISA-996217426603316
Westwick David T.  
[Piscataway, New Jersey?] : , : IEEE Press, , c2003
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Identification of nonlinear physiological systems / / David T. Westwick, Robert E. Kearney
Identification of nonlinear physiological systems / / David T. Westwick, Robert E. Kearney
Autore Westwick David T.
Pubbl/distr/stampa [Piscataway, New Jersey?] : , : IEEE Press, , c2003
Descrizione fisica 1 PDF (xii, 261 pages) : illustrations
Disciplina 612/.01/5118
Altri autori (Persone) KearneyRobert E. <1947->
Collana IEEE Press series on biomedical engineering
Soggetto topico Physiology - Mathematical models
Nonlinear systems
Statistics as Topic
Nonlinear Dynamics
Computer Simulation
Models, Biological
Physiological Phenomena
Health Care Evaluation Mechanisms
Computing Methodologies
Models, Theoretical
Phenomena and Processes
Epidemiologic Methods
Mathematics
Investigative Techniques
Natural Science Disciplines
Public Health
Information Science
Quality of Health Care
Disciplines and Occupations
Analytical, Diagnostic and Therapeutic Techniques and Equipment
Health Care Quality, Access, and Evaluation
Environment and Public Health
Health Care
Physiology
Human Anatomy & Physiology
Health & Biological Sciences
Soggetto non controllato Systems Engineering
ISBN 1-280-55705-2
9786610557059
0-471-72295-2
0-471-72296-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Preface. -- 1. Introduction. -- 1.1 Signals. -- 1.2 Systems and Models. -- 1.3 System Modeling. -- 1.4 System Identification. -- 1.5 How Common are Nonlinear Systems? -- 2. Background. -- 2.1 Vectors and Matrices. -- 2.2 Gaussian Random Variables. -- 2.3 Correlation Functions. -- 2.4 Mean-Square Parameter Estimation. -- 2.5 Polynomials. -- 2.6 Notes and References. -- 2.7 Problems. -- 2.8 Computer Exercises. -- 3. Models of Linear Systems. -- 3.1 Linear Systems. -- 3.2 Nonparametric Models. -- 3.3 Parametric Models. -- 3.4 State-Space Models. -- 3.5 Notes and References. -- 3.6 Theoretical Problems. -- 3.7 Computer Exercises. -- 4. Models of Nonlinear Systems. -- 4.1 The Volterra Series. -- 4.2 The Wiener Series. -- 4.3 Simple Block Structures. -- 4.4 Parallel Cascades. -- 4.5 The Wiener-Bose Model. -- 4.6 Notes and References. -- 4.7 Theoretical Problems. -- 4.8 Computer Exercises. -- 5. Identification of Linear Systems. -- 5.1 Introduction. -- 5.2 Nonparametric Time-Domain Models. -- 5.3 Frequency Response Estimation. -- 5.4 Parametric Methods. -- 5.5 Notesand References. -- 5.6 Computer Exercises. -- 6. Correlation-Based Methods. -- 6.1 Methods for Functional Expansions. -- 6.2 Block Structured Models. -- 6.3 Problems. -- 6.4 Computer Exercises. -- 7. Explicit Least-Squares Methods. -- 7.1 Introduction. -- 7.2 The Orthogonal Algorithms. -- 7.3 Expansion Bases. -- 7.4 Principal Dynamic Modes. -- 7.5 Problems. -- 7.6 Computer Exercises. -- 8. Iterative Least-Squares Methods. -- 8.1 Optimization Methods. -- 8.2 Parallel Cascade Methods. -- 8.3 Application: Visual Processing in the Light Adapted Fly Retina. -- 8.4 Problems -- 8.5 Computer Exercises. -- References. -- Index. -- IEEE Press Series in Biomedical Engineering.
Record Nr. UNINA-9910830004803321
Westwick David T.  
[Piscataway, New Jersey?] : , : IEEE Press, , c2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Introduzione alla modellistica in fisiologia e medicina / Claudio Cobelli, Ewart Carson ; traduzione di Chiara Dalla Man e Andrea Facchinetti
Introduzione alla modellistica in fisiologia e medicina / Claudio Cobelli, Ewart Carson ; traduzione di Chiara Dalla Man e Andrea Facchinetti
Autore Cobelli, Claudio
Pubbl/distr/stampa Bologna : Patron, c2012
Descrizione fisica 332 p. : ill. ; 24 cm
Disciplina 610.28
612.0015118
Altri autori (Persone) Facchinetti, Andrea
Dalla Man, Chiara
Carson, Ewartauthor
Collana Collana di Ingegneria biomedica ; 20
Soggetto topico Physiology - Mathematical models
Medicine - Mathematical models
ISBN 9788855531580
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNISALENTO-991004004589707536
Cobelli, Claudio  
Bologna : Patron, c2012
Materiale a stampa
Lo trovi qui: Univ. del Salento
Opac: Controlla la disponibilità qui
Modelling methodology for physiology and medicine / / Ewart Carson, Centre for Health Informatics, City University London, London, UK, Claudio Cobelli, Department of Information Engineering, University of Padova, Padova, Italy
Modelling methodology for physiology and medicine / / Ewart Carson, Centre for Health Informatics, City University London, London, UK, Claudio Cobelli, Department of Information Engineering, University of Padova, Padova, Italy
Autore Carson Ewart
Edizione [Second edition.]
Pubbl/distr/stampa London : , : Elsevier, , 2014
Descrizione fisica 1 online resource (589 p.)
Disciplina 589
Altri autori (Persone) CobelliClaudio
Collana Elsevier insights
Soggetto topico Physiology - Mathematical models
Medicine - Mathematical models
Soggetto genere / forma Electronic books.
ISBN 0-12-409525-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Modelling Methodology for Physiology and Medicine; Copyright Page; Contents; Preface; Preface to the Second Edition; List of Contributors; 1 An Introduction to Modelling Methodology; 1.1 Introduction; 1.2 The Need for Models; 1.2.1 Physiological Complexity; 1.2.2 Models and Their Purposes; 1.3 Approaches to Modelling; 1.3.1 Modelling the Data; 1.3.2 Modelling the System; 1.4 Simulation; 1.5 Model Identification; 1.5.1 A Framework for Identification; 1.5.2 Identification of Parametric Models; 1.5.3 Identification of Nonparametric Models; 1.6 Model Validation; Reference
2 Control in Physiology and Medicine; 2.1 Introduction; 2.2 Modelling for Control System Design and Analysis; 2.2.1 Sets of Ordinary Differential Equations; 2.2.2 Linear State Space Models; 2.2.3 Transfer Functions; 2.2.3.1 Pole-Zero Cancellation; 2.2.3.2 Right-Half-Plane Zeros and Time Delays; 2.2.4 Discrete-Time State Space Models; 2.2.5 Discrete Auto-Regressive Models; 2.2.6 Step and Impulse Response Models; 2.2.7 System Identification; 2.3 Block Diagram Analysis; 2.3.1 Continuous-Time Block Diagram Analysis; 2.3.2 Discrete-Time Block Diagram Analysis
2.4 Proportional-Integral-Derivative Control; 2.4.1 PID Tuning Techniques; 2.4.1.1 Ziegler-Nichols Closed-Loop Oscillations; 2.4.1.2 Frequency Response; 2.4.1.3 Cohen-Coon; 2.4.1.4 Internal Model Control-Based PID; 2.4.1.5 Ad hoc; 2.4.2 Discrete-Time PID; 2.5 Model Predictive Control; 2.6 Other Control Algorithms; 2.6.1 Fuzzy Logic; 2.6.2 Expert Systems; 2.6.3 Artificial Neural Networks; 2.6.4 On-Off; 2.7 Application Examples; 2.7.1 Type 1 Diabetes: Blood Glucose Control; 2.7.1.1 Models for Simulation; 2.7.1.2 Models for Control; 2.7.1.3 Control; 2.7.1.3.1 On-Off
2.7.1.3.2 Proportional-Integral-Derivative (PID); 2.7.1.3.3 Model Predictive Control (MPC); 2.7.1.3.4 Fuzzy Logic; 2.7.2 Intensive Care Unit Blood Glucose Control; 2.7.2.1 Models; 2.7.2.2 Control; 2.7.3 Blood Pressure Control Using Continuous Drug Infusion; 2.7.3.1 Models; 2.7.3.2 Control; 2.7.4 Control of Anesthesia and Sedation; 2.7.4.1 Models; 2.7.4.2 Open-Loop Control; 2.7.4.3 Closed-Loop Control; 2.8 Summary; References; 3 Deconvolution; 3.1 Problem Statement; 3.2 Difficulty of the Deconvolution Problem; 3.2.1 Dealing with Physiological Systems
3.2.2 A Classification of the Deconvolution Approaches; 3.3 The Regularization Method; 3.3.1 Deterministic Viewpoint; 3.3.1.1 The Choice of the Regularization Parameter; 3.3.1.2 The Virtual Grid; 3.3.1.3 Assessment of Confidence Limits; 3.3.2 Stochastic Viewpoint; 3.3.2.1 Confidence Limits; 3.3.2.2 Statistically Based Choice of the Regularization Parameter; 3.3.3 Numerical Aspects; 3.3.4 Constrained Deconvolution; 3.4 Other Deconvolution Methods; 3.5 Conclusions; References; 4 Structural Identifiability of Biological and Physiological Systems; 4.1 Introduction; 4.2 Background and Definitions
4.2.1 The System
Record Nr. UNINA-9910459154003321
Carson Ewart  
London : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Modelling methodology for physiology and medicine / / Ewart Carson, Centre for Health Informatics, City University London, London, UK, Claudio Cobelli, Department of Information Engineering, University of Padova, Padova, Italy
Modelling methodology for physiology and medicine / / Ewart Carson, Centre for Health Informatics, City University London, London, UK, Claudio Cobelli, Department of Information Engineering, University of Padova, Padova, Italy
Autore Carson Ewart
Edizione [Second edition.]
Pubbl/distr/stampa London : , : Elsevier, , 2014
Descrizione fisica 1 online resource (xxiv, 564 pages) : illustrations (some color)
Disciplina 589
Collana Elsevier insights
Gale eBooks
Soggetto topico Physiology - Mathematical models
Medicine - Mathematical models
ISBN 0-12-409525-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Modelling Methodology for Physiology and Medicine; Copyright Page; Contents; Preface; Preface to the Second Edition; List of Contributors; 1 An Introduction to Modelling Methodology; 1.1 Introduction; 1.2 The Need for Models; 1.2.1 Physiological Complexity; 1.2.2 Models and Their Purposes; 1.3 Approaches to Modelling; 1.3.1 Modelling the Data; 1.3.2 Modelling the System; 1.4 Simulation; 1.5 Model Identification; 1.5.1 A Framework for Identification; 1.5.2 Identification of Parametric Models; 1.5.3 Identification of Nonparametric Models; 1.6 Model Validation; Reference
2 Control in Physiology and Medicine; 2.1 Introduction; 2.2 Modelling for Control System Design and Analysis; 2.2.1 Sets of Ordinary Differential Equations; 2.2.2 Linear State Space Models; 2.2.3 Transfer Functions; 2.2.3.1 Pole-Zero Cancellation; 2.2.3.2 Right-Half-Plane Zeros and Time Delays; 2.2.4 Discrete-Time State Space Models; 2.2.5 Discrete Auto-Regressive Models; 2.2.6 Step and Impulse Response Models; 2.2.7 System Identification; 2.3 Block Diagram Analysis; 2.3.1 Continuous-Time Block Diagram Analysis; 2.3.2 Discrete-Time Block Diagram Analysis
2.4 Proportional-Integral-Derivative Control; 2.4.1 PID Tuning Techniques; 2.4.1.1 Ziegler-Nichols Closed-Loop Oscillations; 2.4.1.2 Frequency Response; 2.4.1.3 Cohen-Coon; 2.4.1.4 Internal Model Control-Based PID; 2.4.1.5 Ad hoc; 2.4.2 Discrete-Time PID; 2.5 Model Predictive Control; 2.6 Other Control Algorithms; 2.6.1 Fuzzy Logic; 2.6.2 Expert Systems; 2.6.3 Artificial Neural Networks; 2.6.4 On-Off; 2.7 Application Examples; 2.7.1 Type 1 Diabetes: Blood Glucose Control; 2.7.1.1 Models for Simulation; 2.7.1.2 Models for Control; 2.7.1.3 Control; 2.7.1.3.1 On-Off
2.7.1.3.2 Proportional-Integral-Derivative (PID); 2.7.1.3.3 Model Predictive Control (MPC); 2.7.1.3.4 Fuzzy Logic; 2.7.2 Intensive Care Unit Blood Glucose Control; 2.7.2.1 Models; 2.7.2.2 Control; 2.7.3 Blood Pressure Control Using Continuous Drug Infusion; 2.7.3.1 Models; 2.7.3.2 Control; 2.7.4 Control of Anesthesia and Sedation; 2.7.4.1 Models; 2.7.4.2 Open-Loop Control; 2.7.4.3 Closed-Loop Control; 2.8 Summary; References; 3 Deconvolution; 3.1 Problem Statement; 3.2 Difficulty of the Deconvolution Problem; 3.2.1 Dealing with Physiological Systems
3.2.2 A Classification of the Deconvolution Approaches; 3.3 The Regularization Method; 3.3.1 Deterministic Viewpoint; 3.3.1.1 The Choice of the Regularization Parameter; 3.3.1.2 The Virtual Grid; 3.3.1.3 Assessment of Confidence Limits; 3.3.2 Stochastic Viewpoint; 3.3.2.1 Confidence Limits; 3.3.2.2 Statistically Based Choice of the Regularization Parameter; 3.3.3 Numerical Aspects; 3.3.4 Constrained Deconvolution; 3.4 Other Deconvolution Methods; 3.5 Conclusions; References; 4 Structural Identifiability of Biological and Physiological Systems; 4.1 Introduction; 4.2 Background and Definitions
4.2.1 The System
Record Nr. UNINA-9910792483303321
Carson Ewart  
London : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Modelling methodology for physiology and medicine / / Ewart Carson, Centre for Health Informatics, City University London, London, UK, Claudio Cobelli, Department of Information Engineering, University of Padova, Padova, Italy
Modelling methodology for physiology and medicine / / Ewart Carson, Centre for Health Informatics, City University London, London, UK, Claudio Cobelli, Department of Information Engineering, University of Padova, Padova, Italy
Autore Carson Ewart
Edizione [Second edition.]
Pubbl/distr/stampa London : , : Elsevier, , 2014
Descrizione fisica 1 online resource (xxiv, 564 pages) : illustrations (some color)
Disciplina 589
Collana Elsevier insights
Gale eBooks
Soggetto topico Physiology - Mathematical models
Medicine - Mathematical models
ISBN 0-12-409525-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Front Cover; Modelling Methodology for Physiology and Medicine; Copyright Page; Contents; Preface; Preface to the Second Edition; List of Contributors; 1 An Introduction to Modelling Methodology; 1.1 Introduction; 1.2 The Need for Models; 1.2.1 Physiological Complexity; 1.2.2 Models and Their Purposes; 1.3 Approaches to Modelling; 1.3.1 Modelling the Data; 1.3.2 Modelling the System; 1.4 Simulation; 1.5 Model Identification; 1.5.1 A Framework for Identification; 1.5.2 Identification of Parametric Models; 1.5.3 Identification of Nonparametric Models; 1.6 Model Validation; Reference
2 Control in Physiology and Medicine; 2.1 Introduction; 2.2 Modelling for Control System Design and Analysis; 2.2.1 Sets of Ordinary Differential Equations; 2.2.2 Linear State Space Models; 2.2.3 Transfer Functions; 2.2.3.1 Pole-Zero Cancellation; 2.2.3.2 Right-Half-Plane Zeros and Time Delays; 2.2.4 Discrete-Time State Space Models; 2.2.5 Discrete Auto-Regressive Models; 2.2.6 Step and Impulse Response Models; 2.2.7 System Identification; 2.3 Block Diagram Analysis; 2.3.1 Continuous-Time Block Diagram Analysis; 2.3.2 Discrete-Time Block Diagram Analysis
2.4 Proportional-Integral-Derivative Control; 2.4.1 PID Tuning Techniques; 2.4.1.1 Ziegler-Nichols Closed-Loop Oscillations; 2.4.1.2 Frequency Response; 2.4.1.3 Cohen-Coon; 2.4.1.4 Internal Model Control-Based PID; 2.4.1.5 Ad hoc; 2.4.2 Discrete-Time PID; 2.5 Model Predictive Control; 2.6 Other Control Algorithms; 2.6.1 Fuzzy Logic; 2.6.2 Expert Systems; 2.6.3 Artificial Neural Networks; 2.6.4 On-Off; 2.7 Application Examples; 2.7.1 Type 1 Diabetes: Blood Glucose Control; 2.7.1.1 Models for Simulation; 2.7.1.2 Models for Control; 2.7.1.3 Control; 2.7.1.3.1 On-Off
2.7.1.3.2 Proportional-Integral-Derivative (PID); 2.7.1.3.3 Model Predictive Control (MPC); 2.7.1.3.4 Fuzzy Logic; 2.7.2 Intensive Care Unit Blood Glucose Control; 2.7.2.1 Models; 2.7.2.2 Control; 2.7.3 Blood Pressure Control Using Continuous Drug Infusion; 2.7.3.1 Models; 2.7.3.2 Control; 2.7.4 Control of Anesthesia and Sedation; 2.7.4.1 Models; 2.7.4.2 Open-Loop Control; 2.7.4.3 Closed-Loop Control; 2.8 Summary; References; 3 Deconvolution; 3.1 Problem Statement; 3.2 Difficulty of the Deconvolution Problem; 3.2.1 Dealing with Physiological Systems
3.2.2 A Classification of the Deconvolution Approaches; 3.3 The Regularization Method; 3.3.1 Deterministic Viewpoint; 3.3.1.1 The Choice of the Regularization Parameter; 3.3.1.2 The Virtual Grid; 3.3.1.3 Assessment of Confidence Limits; 3.3.2 Stochastic Viewpoint; 3.3.2.1 Confidence Limits; 3.3.2.2 Statistically Based Choice of the Regularization Parameter; 3.3.3 Numerical Aspects; 3.3.4 Constrained Deconvolution; 3.4 Other Deconvolution Methods; 3.5 Conclusions; References; 4 Structural Identifiability of Biological and Physiological Systems; 4.1 Introduction; 4.2 Background and Definitions
4.2.1 The System
Record Nr. UNINA-9910822035003321
Carson Ewart  
London : , : Elsevier, , 2014
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui