Advances in Artificial Pancreas Systems: Adaptive and Multivariable Predictive Control

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This brief introduces recursive modeling techniques that take account of variations in blood glucose concentration within and between individuals. It describes their use in developing multivariable models in early-warning systems for hypo- and hyperglycemia; these models are more accurate than those solely reliant on glucose and insulin concentrations because they can accommodate other relevant influences like physical activity, stress and sleep. Such factors also contribute to the accuracy of the adaptive control systems ...

Advances in Artificial Pancreas Systems: Adaptive and Multivariable Predictive Control 2018, Springer

ISBN-13: 9783319722443

2018 edition

Trade paperback

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