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Control theory --- Distributed parameter systems --- Estimation theory

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Cardiovascular system --- Respiratory organs --- Mathematical models --- Mathematical models. --- Biological models --- Cardiovascular System --- Respiratory System --- Models, Biological --- Biological Model --- Biological Models --- Model, Biological --- Models, Biologic --- Biologic Model --- Biologic Models --- Model, Biologic --- Respiratory Tract --- Respiratory Systems --- Respiratory Tracts --- System, Respiratory --- Systems, Respiratory --- Tract, Respiratory --- Tracts, Respiratory --- Circulatory System --- Cardiovascular Systems --- Circulatory Systems --- Blood Circulation --- Air passages (Anatomy) --- Respiratory system --- Cardiopulmonary system --- Circulatory system --- Vascular system --- Blood --- Circulation --- Cardiovascular system - Mathematical models --- Respiratory organs - Mathematical models

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This volume synthesizes theoretical and practical aspects of both the mathematical and life science viewpoints needed for modeling of the cardiovascular-respiratory system specifically and physiological systems generally.  Theoretical points include model design, model complexity and validation in the light of available data, as well as control theory approaches to feedback delay and Kalman filter applications to parameter identification. State of the art approaches using parameter sensitivity are discussed for enhancing model identifiability through joint analysis of model structure and data. Practical examples illustrate model development at various levels of complexity based on given physiological information. The sensitivity-based approaches for examining model identifiability are illustrated by means of specific modeling  examples. The themes presented address the current problem of patient-specific model adaptation in the clinical setting, where data is typically limited.

Mathematics --- Biology --- Human physiology --- Computer science --- Computer. Automation --- biologie --- informatica --- fysiologie --- wiskunde --- ingenieurswetenschappen

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