[HTML][HTML] Continuous glucose monitoring sensors: past, present and future algorithmic challenges

A Facchinetti - Sensors, 2016 - mdpi.com
Continuous glucose monitoring (CGM) sensors are portable devices that allow measuring
and visualizing the glucose concentration in real time almost continuously for several days …

Convolutional recurrent neural networks for glucose prediction

K Li, J Daniels, C Liu, P Herrero… - IEEE journal of …, 2019 - ieeexplore.ieee.org
Control of blood glucose is essential for diabetes management. Current digital therapeutic
approaches for subjects with type 1 diabetes mellitus such as the artificial pancreas and …

Stacked LSTM based deep recurrent neural network with kalman smoothing for blood glucose prediction

MF Rabby, Y Tu, MI Hossen, I Lee, AS Maida… - BMC Medical Informatics …, 2021 - Springer
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 …

Fault detection and safety in closed-loop artificial pancreas systems

BW Bequette - Journal of diabetes science and technology, 2014 - journals.sagepub.com
Continuous subcutaneous insulin infusion pumps and continuous glucose monitors enable
individuals with type 1 diabetes to achieve tighter blood glucose control and are critical …

A statistical virtual patient population for the glucoregulatory system in type 1 diabetes with integrated exercise model

N Resalat, J El Youssef, N Tyler, J Castle, PG Jacobs - PloS one, 2019 - journals.plos.org
Purpose We introduce two validated single (SH) and dual hormone (DH) mathematical
models that represent an in-silico virtual patient population (VPP) for type 1 diabetes (T1D) …

[HTML][HTML] Linear parameter varying (LPV) based robust control of type-I diabetes driven for real patient data

L Kovács - Knowledge-Based Systems, 2017 - Elsevier
Due to increasing prevalence of diabetes as well as increasing management costs, the
artificial control of diabetes is a highly important task. Model-based design allows finding …

Data-driven anomaly recognition for unsupervised model-free fault detection in artificial pancreas

L Meneghetti, M Terzi, S Del Favero… - … on Control Systems …, 2018 - ieeexplore.ieee.org
The last decade has seen tremendous improvements in technologies for Type 1 Diabetes
(T1D) management, in particular the so-called artificial pancreas (AP), a wearable closed …

A novel method to detect pressure-induced sensor attenuations (PISA) in an artificial pancreas

N Baysal, F Cameron, BA Buckingham… - Journal of diabetes …, 2014 - journals.sagepub.com
Background: Continuous glucose monitors (CGMs) provide real-time interstitial glucose
concentrations that are essential for automated treatment of individuals with type 1 diabetes …

Model-based detection and classification of insulin pump faults and missed meal announcements in artificial pancreas systems for type 1 diabetes therapy

L Meneghetti, A Facchinetti… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Objective: The artificial pancreas (AP) is an innovative closed-loop system for type 1
diabetes therapy, in which insulin is infused by portable pumps and insulin dosage is …

Early detection of infusion set failure during insulin pump therapy in type 1 diabetes

M Cescon, DJ DeSalvo, TT Ly… - Journal of diabetes …, 2016 - journals.sagepub.com
Background: Insulin infusion set failure resulting in prolonged hyperglycemia or diabetic
ketoacidosis can occur with pump therapy in type 1 diabetes. Set failures are frequently …