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Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
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Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
Show less

Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
Show less

Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
Show less

Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
Show less

Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
Show less

Title: Automatic Insulin Pumps Using Recursive Multivariable Models and Adaptive Control Algorithms
Creator: Cinar, Ali, Oruklu, Meriyan
Date: 2014-04-09, 2014-04-08
Description: A method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a...
Show moreA method and device for monitoring or treating patient glucose levels. The device includes a glucose sensor for measuring a glucose level of a patient, a physiological status monitoring system for measuring at least one physical or metabolic variable of the patient, and an automatic controller in communication with the glucose sensor and the physiological status monitoring system. The controller includes a prediction module for automatically predicting a future glucose level using data measured by the glucose sensor and the physiological sensor.
Sponsorship: Illinois Institute of Technology
United States Patent
Show less

Title: Estimation of Future Glucose Concentrations with Subject-Specific Recursive Linear Models
Creator: Eren-oruklu, Meriyan, Cinar, Ali, Quinn, Lauretta, Smith, Donald
Date: 2009-04
Publisher: MARY ANN LIEBERT INC
Description: Background: Estimation of future glucose concentrations is a crucial task for diabetes management. Predicted glucose values can be used for...
Show moreBackground: Estimation of future glucose concentrations is a crucial task for diabetes management. Predicted glucose values can be used for early hypoglycemic/hyperglycemic alarms or for adjustment of insulin injections or insulin infusion rates of manual or automated pumps. Continuous glucose monitoring (CGM) technologies provide glucose readings at a high frequency and consequently detailed insight into the subject's glucose variations. The objective of this research is to develop reliable subject-specific glucose prediction models using CGM data. Methods: Two separate patient databases collected under hospitalized (disturbance-free) and normal daily life conditions are used for validation of the proposed glucose prediction algorithm. Both databases consist of glucose concentration data collected at 5-min intervals using a CGM device. Using time-series analysis, low-order linear models are developed from patients' own CGM data. The time-series models are integrated with recursive identification and change detection methods, which enables dynamic adaptation of the model to inter-/intra-subject variability and glycemic disturbances. Prediction performance is evaluated in terms of glucose prediction error and Clarke Error Grid analysis (CG-EGA). Results: Prediction errors are significantly reduced with recursive identification of the models, and predictions are further improved with inclusion of a parameter change detection method. CG-EGA analysis results in accurate readings of 90% or more. Conclusions: Subject-specific glucose prediction strategy has been developed. Including a change detection method to the recursive algorithm improves the prediction accuracy. The proposed modeling algorithm with small number of parameters is a good candidate for installation in portable devices for early hypoglycemic/hyperglycemic alarms and for closing the glucose regulation loop with an insulin pump.
Endnote format citation
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Title: Adaptive control strategy for regulation of blood glucose levels in patients with type 1 diabetes
Creator: Eren-oruklu, Meriyan, Cinar, Ali, Quinn, Lauretta, Smith, Donald
Date: 2009-09
Publisher: ELSEVIER SCI LTD
Description: Current insulin therapy for patients with type 1 diabetes often results in high variability in blood glucose concentrations and may cause hype...
Show moreCurrent insulin therapy for patients with type 1 diabetes often results in high variability in blood glucose concentrations and may cause hype rglycemic/hypoglycemic episodes. Closing the glucose control loop with a fully automated electro-mechanical pancreas will improve the quality of life for insulin-dependent patients. An adaptive control algorithm is proposed to keep glucose concentrations within normoglycemic range and dynamically respond to glycemic challenges. A model-based control strategy is used to calculate the required insulin infusion rate, while the model parameters are recursively tuned. The algorithm handles delays associated with insulin absorption, time-lag between subcutaneous and blood glucose concentrations, and variations in inter/intra-subject glucose-insulin dynamics. Simulation results for simultaneous meat and physiological disturbances are demonstrated for subcutaneous insulin infusion.
Endnote format citation for DOI:10.1016/j.jprocont.2009.04.004
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