Techniques of model-based control int
In addition, the approaches presented in the book are motivated by their use in solving practical problems, thus emphasizing methods rather than theory. The examples used to illustrate these methods and the MATLAB software that is included are further intended to assist the reader in the design and tuning of actual control systems. This product is part of the following series. Click on a series title to see the full list of products in the series.
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Comput Methods Program Biomed. The lung physiome: merging imaging-based measures with predictive computational models. Wiley Interdisciplin Rev. Quantitative estimation of insulin sensitivity.
Am J Physiol. The oral glucose minimal model: estimation of insulin sensitivity from a meal test. A system model of oral glucose absorption: validation on gold standard data. Physical activity into the meal glucose—insulin model of type 1 diabetes: in silico studies. J Diabetes Sci Technol Online. A new dynamic index of insulin sensitivity. Toffolo G, Cobelli C.
Am J Physiol Endocrinol Metab. Simulation environment to evaluate closed-loop insulin delivery systems in type 1 diabetes. Bayesian two-compartment and classic single-compartment minimal models: comparison on insulin modified IVGTT and effect of experiment reduction. A vision and strategy for the virtual physiological human in and beyond. Development of a physiology-based whole-body population model for assessing the influence of individual variability on the pharmacokinetics of drugs.
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Comput Methods Programs Biomed. Using a human cardiovascular-respiratory model to characterize cardiac tamponade and pulsus paradoxus.
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Theor Biol Med Model. An imaging-based computational approach to model ventilation distribution and soft-tissue deformation in the ovine lung. Acad Radiol. An anatomical heart model with applications to myocardial activation and ventricular mechanics.
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Crit Rev Biomed Eng. Integration from proteins to organs: the IUPS physiome project. Mech Ageing Dev. Roadmap for cardiovascular circulation model. J Physiol. Multi-scale models of the lung airways and vascular system.
Techniques of Model-Based Control [Book]
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Sharing and reusing cardiovascular anatomical models over the Web: a step towards the implementation of the virtual physiological human project. CellML and associated tools and techniques. The cardiac physiome: perspectives for the future. Hunter P, Nielsen P. A strategy for integrative computational physiology. Physiology Bethesda. The human physiome: how standards, software and innovative service infrastructures are providing the building blocks to make it achievable.
A physiome interoperability roadmap for personalized drug development. Systems modeling and simulation applications for critical care medicine. Validation of subject-specific cardiovascular system models from porcine measurements. Model-based computation of total stressed blood volume from a preload reduction manoeuvre. Math Biosci.
Multicentric, randomized, controlled trial to evaluate blood glucose control by the model predictive control algorithm versus routine glucose management protocols in intensive care unit patients. Diabetes Care. Intensive insulin therapy in critically ill patients: comparison of standard and MPC protocols. Intensive Care Med. Comparison of three protocols for tight glycemic control in cardiac surgery patients. Towards closed-loop glycaemic control.
Techniques of Model-Based Control
Best Pract Res. BioMed Eng Online. J Clin Monit Comput. Using physiological models and decision theory for selecting appropriate ventilator settings. Rees SE.
A replicable method for blood glucose control in critically Ill patients. Pilot study of a model-based approach to blood glucose control in very-low-birthweight neonates. BMC Pediatr. EndoTool software for tight glucose control for critically ill patients. The Glucosafe system for tight glycemic control in critical care: a pilot evaluation study. J Crit Care. Decision support for optimized blood glucose control and nutrition in a neurotrauma intensive care unit: preliminary results of clinical advice and prediction accuracy of the Glucosafe system.
Assessment of ventricular contractility and ventricular-arterial coupling with a model-based sensor. Development of a model-based clinical sepsis biomarker for critically ill patients.