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Mathematical Modeling and Validation in Physiology [[electronic resource] ] : Applications to the Cardiovascular and Respiratory Systems / / edited by Jerry J. Batzel, Mostafa Bachar, Franz Kappel
Mathematical Modeling and Validation in Physiology [[electronic resource] ] : Applications to the Cardiovascular and Respiratory Systems / / edited by Jerry J. Batzel, Mostafa Bachar, Franz Kappel
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XX, 254 p. 83 illus., 34 illus. in color.)
Disciplina 612.001/5118
Collana Mathematical Biosciences Subseries
Soggetto topico Biomathematics
Human physiology
Bioinformatics 
Computational biology 
Mathematical and Computational Biology
Human Physiology
Computer Appl. in Life Sciences
ISBN 3-642-32882-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Merging Mathematical and Physiological Knowledge: Dimensions and Challenges -- 2 Mathematical Modeling of Physiological Systems -- 3 Parameter Selection Methods in Inverse Problem Formulation.- 4 Application of the Unscented Kalman Filtering to Parameter Estimation -- 5 Integrative and Reductionist Approaches to Modeling of Control of Breathing -- 6 Parameter Identification in a Respiratory Control System Model with Delay -- 7 Experimental Studies of Respiration and Apnea -- 8 Model Validation and Control Issues in the Respiratory System -- 9 Experimental Studies of the Baroreflex -- 10 Development of Patient Specific Cardiovascular Models Predicting Dynamics in Response to Orthostatic Stress Challenges -- 11 Parameter Estimation of a Model for Baroreflex Control of Unstressed Volume.
Record Nr. UNISA-996466480603316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mathematical modeling and validation in physiology : applications to the cardiovascular and respiratory systems / / Jerry J. Batzel, Mostafa Bachar, Franz Kappel, editors
Mathematical modeling and validation in physiology : applications to the cardiovascular and respiratory systems / / Jerry J. Batzel, Mostafa Bachar, Franz Kappel, editors
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin ; ; New York, : Springer, c2013
Descrizione fisica 1 online resource (XX, 254 p. 83 illus., 34 illus. in color.)
Disciplina 571.015118
Altri autori (Persone) BatzelJerry J
BacharMostafa
KappelF
Collana Lecture notes in mathematics
Soggetto topico Human physiology - Mathematical models
Cardiovascular system - Mathematical models
Respiratory organs - Mathematical models
ISBN 3-642-32882-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Merging Mathematical and Physiological Knowledge: Dimensions and Challenges -- 2 Mathematical Modeling of Physiological Systems -- 3 Parameter Selection Methods in Inverse Problem Formulation.- 4 Application of the Unscented Kalman Filtering to Parameter Estimation -- 5 Integrative and Reductionist Approaches to Modeling of Control of Breathing -- 6 Parameter Identification in a Respiratory Control System Model with Delay -- 7 Experimental Studies of Respiration and Apnea -- 8 Model Validation and Control Issues in the Respiratory System -- 9 Experimental Studies of the Baroreflex -- 10 Development of Patient Specific Cardiovascular Models Predicting Dynamics in Response to Orthostatic Stress Challenges -- 11 Parameter Estimation of a Model for Baroreflex Control of Unstressed Volume.
Record Nr. UNINA-9910438149703321
Berlin ; ; New York, : Springer, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Stochastic Biomathematical Models [[electronic resource] ] : with Applications to Neuronal Modeling / / edited by Mostafa Bachar, Jerry J. Batzel, Susanne Ditlevsen
Stochastic Biomathematical Models [[electronic resource] ] : with Applications to Neuronal Modeling / / edited by Mostafa Bachar, Jerry J. Batzel, Susanne Ditlevsen
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XVI, 206 p. 34 illus., 13 illus. in color.)
Disciplina 612.8/1046015118
Collana Mathematical Biosciences Subseries
Soggetto topico Probabilities
Mathematical models
Statistics 
Neurobiology
Probability Theory and Stochastic Processes
Mathematical Modeling and Industrial Mathematics
Statistics for Life Sciences, Medicine, Health Sciences
ISBN 3-642-32157-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction to stochastic models in biology -- 2 One-dimensional homogeneous diffusions -- 3 A brief introduction to large deviations theory -- 4 Some numerical methods for rare events simulation and analysis -- 5 Stochastic Integrate and Fire models: a review on mathematical methods and their applications -- 6 Stochastic partial differential equations in Neurobiology: linear and nonlinear models for spiking neurons -- 7 Deterministic and stochastic FitzHugh-Nagumo systems -- 8 Stochastic modeling of spreading cortical depression.
Record Nr. UNISA-996466481003316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Stochastic biomathematical models : with applications to neuronal modeling / / Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen, editors
Stochastic biomathematical models : with applications to neuronal modeling / / Mostafa Bachar, Jerry Batzel, Susanne Ditlevsen, editors
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin ; ; New York, : Springer, c2013
Descrizione fisica 1 online resource (XVI, 206 p. 34 illus., 13 illus. in color.)
Disciplina 612.8/1046015118
Altri autori (Persone) BacharMostafa
BatzelJerry J
DitlevsenSusanne
Collana Lecture notes in mathematics,Mathematical biosciences subseries
Soggetto topico Neurons - Mathematical models
Stochastic models
Computational neuroscience
ISBN 3-642-32157-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction to stochastic models in biology -- 2 One-dimensional homogeneous diffusions -- 3 A brief introduction to large deviations theory -- 4 Some numerical methods for rare events simulation and analysis -- 5 Stochastic Integrate and Fire models: a review on mathematical methods and their applications -- 6 Stochastic partial differential equations in Neurobiology: linear and nonlinear models for spiking neurons -- 7 Deterministic and stochastic FitzHugh-Nagumo systems -- 8 Stochastic modeling of spreading cortical depression.
Record Nr. UNINA-9910438153203321
Berlin ; ; New York, : Springer, c2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui