Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction
Background Blood glucose (BG) management is crucial for type-1 diabetes patients
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent …
Fault and meal detection by redundant continuous glucose monitors and the unscented Kalman filter
The purpose of this study is to develop a method for detecting and compensating the
anomalies of continuous glucose monitoring (CGM) sensors as well as detecting …
anomalies of continuous glucose monitoring (CGM) sensors as well as detecting …
Kalman smoothing for objective and automatic preprocessing of glucose data
A method for preprocessing a time series of glucose measurements based on Kalman
smoothing is presented. Given a glucose data time series that may be irregularly sampled …
smoothing is presented. Given a glucose data time series that may be irregularly sampled …
Parameter estimation in type 1 diabetes models for model-based control applications
D Boiroux, Z Mahmoudi… - 2019 American Control …, 2019 - ieeexplore.ieee.org
In this paper, we discuss the identification of a physiological model describing the glucose-
insulin dynamics in people with type 1 diabetes (TID). The identified model has to be applied …
insulin dynamics in people with type 1 diabetes (TID). The identified model has to be applied …
Nonlinear model predictive control for stochastic differential equation systems
Abstract Using the Van der Pol oscillator model as an example, we provide a tutorial
introduction to nonlinear model predictive control (NMPC) for systems governed by …
introduction to nonlinear model predictive control (NMPC) for systems governed by …
[HTML][HTML] Toward an optimal definition of hypoglycemia with continuous glucose monitoring
Z Mahmoudi, S Del Favero, P Jacob… - Computer Methods and …, 2021 - Elsevier
Abstract Background and Objective As continuous glucose monitoring (CGM) becomes
common in research and clinical practice, there is a need to understand how CGM-based …
common in research and clinical practice, there is a need to understand how CGM-based …
Comparison of three nonlinear filters for fault detection in continuous glucose monitors
The purpose of this study is to compare the performance of three nonlinear filters in online
drift detection of continuous glucose monitors. The nonlinear filters are the extended Kalman …
drift detection of continuous glucose monitors. The nonlinear filters are the extended Kalman …
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) …
Fault detection in glucose control: Is it time to move beyond CGM data?
K Kölle, AL Fougner, KAF Unstad, Ø Stavdahl - IFAC-PapersOnLine, 2018 - Elsevier
People with diabetes mellitus type 1 could benefit from fully automated systems for glucose
control. However, faults in any component of the system can severely compromise the safety …
control. However, faults in any component of the system can severely compromise the safety …
[PDF][PDF] ESTIMATION AND ROBUST CONTROL OF NONLINEAR DIABETES MODEL
ND MODELL, BÉSR SZABÁLYOZÁSA - 2023 - lib.uni-obuda.hu
Diabetes Mellitus (DM) is a collective term referring to several chronic metabolic diseases.
They are characterized by elevated glucose levels (hyperglycemia) over a prolonged period …
They are characterized by elevated glucose levels (hyperglycemia) over a prolonged period …