Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes.
about
Coming of age: the artificial pancreas for type 1 diabetesTreating type 1 diabetes: from strategies for insulin delivery to dual hormonal controlFault detection and safety in closed-loop artificial pancreas systemsClosed-loop insulin delivery for treatment of type 1 diabetesIdentification of Main Factors Explaining Glucose Dynamics During and Immediately After Moderate Exercise in Patients With Type 1 Diabetes.Velocity-weighting to prevent controller-induced hypoglycemia in MPC of an artificial pancreas to treat T1DMQuantification of the glycemic response to microdoses of subcutaneous glucagon at varying insulin levels.Novel insulin delivery profiles for mixed meals for sensor-augmented pump and closed-loop artificial pancreas therapy for type 1 diabetes mellitusDay and night closed-loop control in adults with type 1 diabetes: a comparison of two closed-loop algorithms driving continuous subcutaneous insulin infusion versus patient self-managementAlgorithms for a closed-loop artificial pancreas: the case for model predictive control.Artificial pancreas: model predictive control design from clinical experienceDiAs web monitoring: a real-time remote monitoring system designed for artificial pancreas outpatient trialsA closed-loop artificial pancreas using a proportional integral derivative with double phase lead controller based on a new nonlinear model of glucose metabolismHistorical data enhances safety supervision system performance in T1DM insulin therapy risk managementIn silico evaluation of an artificial pancreas combining exogenous ultrafast-acting technosphere insulin with zone model predictive control.Diabetes technology: markers, monitoring, assessment, and control of blood glucose fluctuations in diabetes.A bio-inspired glucose controller based on pancreatic β-cell physiologyA simple robust method for estimating the glucose rate of appearance from mixed meals.Artificial pancreas: past, present, futureA controlled study of the effectiveness of an adaptive closed-loop algorithm to minimize corticosteroid-induced stress hyperglycemia in type 1 diabetes.Anticipating the next meal using meal behavioral profiles: a hybrid model-based stochastic predictive control algorithm for T1DM.A closed-loop artificial pancreas based on risk management.Combining basal-bolus insulin infusion for tight postprandial glucose control: an in silico evaluation in adults, children, and adolescentsMultinational study of subcutaneous model-predictive closed-loop control in type 1 diabetes mellitus: summary of the results.Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events.Simulation environment to evaluate closed-loop insulin delivery systems in type 1 diabetes.Diabetes: Models, Signals, and Control.Control to range for diabetes: functionality and modular architecture.Closed-loop artificial pancreas using subcutaneous glucose sensing and insulin delivery and a model predictive control algorithm: the Virginia experiencePhysical activity into the meal glucose-insulin model of type 1 diabetes: in silico studies.Linear quadratic gaussian-based closed-loop control of type 1 diabetes.In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.Robust fault detection system for insulin pump therapy using continuous glucose monitoring.Quest for the artificial pancreas: combining technology with treatmentThe artificial pancreas: current status and future prospects in the management of diabetes.Glucose estimation and prediction through meal responses using ambulatory subject data for advisory mode model predictive control.MPC Design for Rapid Pump-Attenuation and Expedited Hyperglycemia Response to Treat T1DM with an Artificial Pancreas.MD-logic artificial pancreas system: a pilot study in adults with type 1 diabetes.Insulin patch pumps: their development and future in closed-loop systems.Automatic Detection of Stress States in Type 1 Diabetes Subjects in Ambulatory Conditions.
P2860
Q26745886-EBDE911D-471B-40D9-A2FF-641E7CDEFDB2Q26853250-33E916CD-1364-49BF-934E-F6F20078C280Q26859052-702D1EA0-4229-45A2-8C84-3733C80A05D5Q27008127-6C393569-4819-4509-99E0-4F664C31AE85Q30278498-64DF04AA-6D0B-4414-873C-E1CCCCBDC1F8Q30279095-02E050C3-CD3D-4A4C-B179-807CE9B4E520Q30370086-575C9607-AC24-4A66-AFDC-0665C2B66FD8Q30371148-553805F9-DC7F-4F60-808F-44AFEBA6310BQ30409243-829F3842-F146-4BB3-8570-C7BBB01D250FQ30409797-06E9781E-CA37-451B-9FD3-B6F04CCAC422Q30409808-F0995CA3-D30D-4D78-854A-8DAF2265FC6CQ30409819-B22B772A-7154-4421-9F79-64DEFF6B4C80Q30413389-C101555E-F1E2-4E61-8C7A-E350D96B9E34Q30414975-E6530995-2B97-47A0-8FA4-438A3C290DA1Q30415517-74CFCDFC-6F2D-4E2D-924E-0C292597FA42Q30416241-82E21FBF-81AD-49F6-AA9D-E64E0AF839F8Q30419609-559A985D-3E76-40C7-ADC8-6A4E02B7B4F5Q30423156-12D6BB55-846B-4F5F-8B57-B752EAD6F96DQ30424200-E36364F1-A587-471A-85DC-B3BABDD35E1CQ30424305-3A7C41CC-1E21-432B-8295-9576706AFF0AQ30427062-D6ADAF92-C05C-4204-9B93-414D91F2DE09Q30428124-F385294C-F195-4315-B0F4-BC78736B7E3AQ30429984-E71B270D-C53E-4BC9-8BDE-BC4D1032D530Q30429989-C0DBFA5D-11BA-479F-B53A-15F87FEC0408Q30431605-09CC1E36-E3A1-437A-8E5A-98EDCC6114BCQ30433675-E0B93C84-1E4D-4255-A5AC-2712B3FE4397Q30434551-825FA80D-E53E-4BE0-8238-A99354745763Q30434937-42BB9494-EE61-4C0A-B0D3-0892F4B96B70Q30434939-6EB27CEC-EE7D-4011-81ED-B648D7974832Q30437503-7B0A5646-BF59-45F3-8870-09354B79BF2DQ30438608-247035B2-3C84-44A0-A6A8-773B63FA2299Q30439654-20016DEA-9C1D-45D8-988D-0BF0A9C606B8Q30449982-F5455151-F1B2-4B33-BE73-A89FEF295375Q33349521-6892A599-FC6A-49A0-911D-5E59615F52A2Q33440813-D36ABDC7-49CC-4433-B268-7C848D8FA53DQ33514621-FB6A83D3-E36D-4DD0-8E09-82FDBC143A78Q33643145-2EC836F0-855B-4147-8CBA-67278980C7C3Q33804654-C673B7CD-38F8-4286-90B5-2E9D3ABB9C0EQ34076632-8CD95D4C-F5E4-4212-B617-23900E658EEAQ34190919-7779937E-B00A-4AF5-B599-26769191E866
P2860
Nonlinear model predictive control of glucose concentration in subjects with type 1 diabetes.
description
2004 nî lūn-bûn
@nan
2004年の論文
@ja
2004年学术文章
@wuu
2004年学术文章
@zh-cn
2004年学术文章
@zh-hans
2004年学术文章
@zh-my
2004年学术文章
@zh-sg
2004年學術文章
@yue
2004年學術文章
@zh
2004年學術文章
@zh-hant
name
Nonlinear model predictive con ...... subjects with type 1 diabetes.
@en
type
label
Nonlinear model predictive con ...... subjects with type 1 diabetes.
@en
prefLabel
Nonlinear model predictive con ...... subjects with type 1 diabetes.
@en
P2093
P921
P356
P1476
Nonlinear model predictive con ...... subjects with type 1 diabetes.
@en
P2093
Helga C Schaller
Ludovic J Chassin
Lukas Schaupp
Malgorzata E Wilinska
Marco Orsini Federici
Massimo Massi-Benedetti
Thomas R Pieber
Thomas Vering
Ulrich Haueter
Valentina Canonico
P304
P356
10.1088/0967-3334/25/4/010
P577
2004-08-01T00:00:00Z