[PDF][PDF] Control engineering methods for blood glucose levels regulation
In this article, we review recently proposed, advanced methods, for the control of blood
glucose levels, in patients with type 1 diabetes. The proposed methods are based on …
glucose levels, in patients with type 1 diabetes. The proposed methods are based on …
[HTML][HTML] A regularized Moving Horizon Estimator for combined state and parameter estimation in a bioprocess experimental application
Due to the lack or high costs of measurement devices to monitor and control metabolites in
microbial cultivation processes, state estimators are often required. These estimators …
microbial cultivation processes, state estimators are often required. These estimators …
Nonlinear model predictive control and artificial pancreas technologies
D Boiroux, JB Jørgensen - 2018 ieee conference on decision …, 2018 - ieeexplore.ieee.org
A single-hormone artificial pancreas (AP) for people with type 1 diabetes consists of a
continuous glucose monitor (CGM), a control algorithm, and an insulin pump for …
continuous glucose monitor (CGM), a control algorithm, and an insulin pump for …
A new stochastic approach for modeling glycemic disturbances in type 2 diabetes
HG Clausen, T Knudsen, M Al Ahdab… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Objective: To improve insulin treatment in type 2 diabetes (T2D) using model-based control
techniques, the underlying model needs to be individualized to each patient. Due to the …
techniques, the underlying model needs to be individualized to each patient. Due to the …
A nonlinear model predictive control strategy for glucose control in people with type 1 diabetes
D Boiroux, JB Jørgensen - IFAC-PapersOnLine, 2018 - Elsevier
In this paper, we evaluate the closed-loop performance of a control algorithm for the
treatment of type 1 diabetes (T1D) identified from prior continuous glucose monitor (CGM) …
treatment of type 1 diabetes (T1D) identified from prior continuous glucose monitor (CGM) …
Efficient computation of the continuous-discrete extended Kalman filter sensitivities applied to maximum likelihood estimation
In this paper, we present and compare different methods for computing the likelihood
function and its gradient. We consider nonlinear continuous-discrete models described by a …
function and its gradient. We consider nonlinear continuous-discrete models described by a …
Parameter estimation for a jump diffusion model of type 2 diabetic patients in the presence of unannounced meals
M Al Ahdab, M Papež, T Knudsen… - … IEEE Conference on …, 2021 - ieeexplore.ieee.org
Type 2 diabetes (T2D) has become one of the most often encountered metabolic disorders
threatening the human health. Unannounced meal intake and irregular physical activity …
threatening the human health. Unannounced meal intake and irregular physical activity …
State estimation in type 2 diabetes using the continuous-discrete unscented Kalman filter
Using a nonlinear model for the glucose-insulin dynamics in type 2 diabetes, formulated in
continuous-time as a stochastic differential equation, we seek to estimate the system states …
continuous-time as a stochastic differential equation, we seek to estimate the system states …
Correlation in Dose-Response to Rapid-and Long-Acting Insulin for People with Type 1 Diabetes
SE Engell, TB Aradóttir, H Bengtsson… - 2022 44th Annual …, 2022 - ieeexplore.ieee.org
In diabetes, it can become necessary to switch between pump-and pen-based insulin
treatment. This switch involves a translation between rapid-and long-acting insulin …
treatment. This switch involves a translation between rapid-and long-acting insulin …
Stochastic Modeling and Inference for Type 2 Diabetes
M Al Ahdab, M Papež, T Knudsen, TB Aradóttir… - Authorea …, 2023 - techrxiv.org
Type 2 diabetes (T2D) is a common metabolic disorder that poses threat to human health.
Blood glucose (BG) concentrations in T2D subjects can be influenced by various factors …
Blood glucose (BG) concentrations in T2D subjects can be influenced by various factors …