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Experimental Evaluation of a Recursive Model Identification Technique for Type 1 Diabetes
Background: A model-based controller for an artificial β cell requires an accurate model of the glucose—insulin dynamics in type 1 diabetes subjects. To ensure the robustness of the controller forExpand
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  • Open Access
Gas separations using non-hexafluorophosphate [PF6]− anion supported ionic liquid membranes
Abstract Previously, we reported on using Room temperature ionic liquids (RTILs) in place of traditional solvents for supported liquid membranes to take advantage of their unique properties. ThisExpand
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Effect of input excitation on the quality of empirical dynamic models for type 1 diabetes
Accurate prediction of future blood glucose trends has the potential to significantly improve glycemic regulation in type 1 diabetes patients. A model-based controller for an artificial β-cell, forExpand
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Effects of everyday life events on glucose, insulin, and glucagon dynamics in continuous subcutaneous insulin infusion-treated type 1 diabetes: collection of clinical data for glucose modeling.
BACKGROUND In the development of glucose control algorithms, mathematical models of glucose metabolism are useful for conducting simulation studies and making real-time predictions upon which controlExpand
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  • Open Access
Automatic Detection of Stress States in Type 1 Diabetes Subjects in Ambulatory Conditions.
Two levels of control are crucial to the robustness of an artificial β-cell, a medical device that would automatically regulate blood glucose levels in patients with type 1 diabetes. A low-levelExpand
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Open Source Closed-Loop Insulin Delivery Systems: A Clash of Cultures or Merging of Diverse Approaches?
Biomedical outcomes for people with diabetes remain suboptimal for many. Psychosocial care in diabetes does not fare any better. “Artificial pancreas” (also known as “closed-loop” and “automatedExpand
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Sensitivity of the Predictive Hypoglycemia Minimizer System to the Algorithm Aggressiveness Factor
Background: The Predictive Hypoglycemia Minimizer System (“Hypo Minimizer”), consisting of a zone model predictive controller (the “controller”) and a safety supervision module (the “safety module”),Expand
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Navigating Two Roads to Glucose Normalization in Diabetes: Automated Insulin Delivery Devices and Cell Therapy.
Incredible strides have been made since the discovery of insulin almost 100 years ago. Insulin formulations have improved dramatically, glucose levels can be measured continuously, and recentlyExpand
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Calculating the insulin to carbohydrate ratio using the hyperinsulinaemic‐euglycaemic clamp—a novel use for a proven technique
In patients with type 1 diabetes, three main variables need to be assessed to optimize meal‐related insulin boluses: pre‐meal blood glucose (BG), insulin to carbohydrate ratio (I : C), and basalExpand
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Use of Continuous Glucose Monitoring to Estimate Insulin Requirements in Patients with Type 1 Diabetes Mellitus during a Short Course of Prednisone
Background: Insulin requirements to maintain normoglycemia during glucocorticoid therapy and stress are often difficult to estimate. To simulate insulin resistance during stress, adults with type 1Expand
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  • Open Access