Continuous glucose monitoring systems-Current status and future perspectives of the flagship technologies in biosensor research
Diabetes mellitus is a chronic illness in the United States affecting nearly 120 million adults,
as well as increasing in children under the age of 18. Diabetes was also the 7th leading …
as well as increasing in children under the age of 18. Diabetes was also the 7th leading …
Physical activity and psychological stress detection and assessment of their effects on glucose concentration predictions in diabetes management
Objective: Continuous glucose monitoring (CGM) enables prediction of the future glucose
concentration (GC) trajectory for making informed diabetes management decisions. The …
concentration (GC) trajectory for making informed diabetes management decisions. The …
Identifiability of control-oriented glucose-insulin linear models: review and analysis
One of the main challenges of glucose control in patients with type 1 diabetes is identifying a
control-oriented model that reliably predicts the behavior of glycemia. Here, a review is …
control-oriented model that reliably predicts the behavior of glycemia. Here, a review is …
Plasma-insulin-cognizant adaptive model predictive control for artificial pancreas systems
An adaptive model predictive control (MPC) algorithm with dynamic adjustments of
constraints and objective function weights based on estimates of the plasma insulin …
constraints and objective function weights based on estimates of the plasma insulin …
Incorporating unannounced meals and exercise in adaptive learning of personalized models for multivariable artificial pancreas systems
Background: Despite the recent advancements in the modeling of glycemic dynamics for
type 1 diabetes mellitus, automatically considering unannounced meals and exercise …
type 1 diabetes mellitus, automatically considering unannounced meals and exercise …
Multivariable recursive subspace identification with application to artificial pancreas systems
Designing a fully automated artificial pancreas (AP) system is challenging. Changes in the
glucose-insulin dynamics in the human body over time, and the inter-subject and day-to-day …
glucose-insulin dynamics in the human body over time, and the inter-subject and day-to-day …
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 …
An adaptive nonlinear basal-bolus calculator for patients with type 1 diabetes
D Boiroux, TB Aradóttir, K Nørgaard… - Journal of diabetes …, 2017 - journals.sagepub.com
Background: Bolus calculators help patients with type 1 diabetes to mitigate the effect of
meals on their blood glucose by administering a large amount of insulin at mealtime …
meals on their blood glucose by administering a large amount of insulin at mealtime …
Estimation of process noise variances from the measured output sequence with application to the empirical model of type 1 diabetes
M Dodek, E Miklovičová - Biomedical Signal Processing and Control, 2023 - Elsevier
This paper presents a novel method for estimating a priori unknown variances of the process
noise affecting a general discrete-time stochastic state-space model under the assumption …
noise affecting a general discrete-time stochastic state-space model under the assumption …
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 …