[HTML][HTML] Artificial intelligence in decision support systems for type 1 diabetes
Type 1 diabetes (T1D) is a chronic health condition resulting from pancreatic beta cell
dysfunction and insulin depletion. While automated insulin delivery systems are now …
dysfunction and insulin depletion. While automated insulin delivery systems are now …
[HTML][HTML] Application of systems engineering principles and techniques in biological big data analytics: A review
In the past few decades, we have witnessed tremendous advancements in biology, life
sciences and healthcare. These advancements are due in no small part to the big data …
sciences and healthcare. These advancements are due in no small part to the big data …
Internal model control based module for the elimination of meal and exercise announcements in hybrid artificial pancreas systems
Abstract Background and Objectives Hybrid artificial pancreas systems outperform current
insulin pump therapies in blood glucose regulation in type 1 diabetes. However, subjects …
insulin pump therapies in blood glucose regulation in type 1 diabetes. However, subjects …
Super–twisting-based meal detector for type 1 diabetes management: Improvement and assessment in a real-life scenario
Background and objective Hybrid automated insulin delivery systems rely on carbohydrate
counting to improve postprandial control in type 1 diabetes. However, this is an extra burden …
counting to improve postprandial control in type 1 diabetes. However, this is an extra burden …
Meal detection and carbohydrate estimation based on a feedback scheme with application to the artificial pancreas
JL Godoy, JE Sereno, PS Rivadeneira - Biomedical Signal Processing and …, 2021 - Elsevier
Current glucose control systems automatically regulate basal insulin infusion, but users still
need to manually announce meals (major disturbances) to dose prandial insulin boluses …
need to manually announce meals (major disturbances) to dose prandial insulin boluses …
[HTML][HTML] Bayesian denoising algorithm dealing with colored, non-stationary noise in continuous glucose monitoring timeseries
Introduction: The retrospective analysis of continuous glucose monitoring (CGM) timeseries
can be hampered by colored and non-stationary measurement noise. Here, we introduce a …
can be hampered by colored and non-stationary measurement noise. Here, we introduce a …
A new meal absorption model for artificial pancreas systems
T Diamond, F Cameron… - Journal of Diabetes …, 2022 - journals.sagepub.com
Background: Artificial pancreas (AP) systems reduce the treatment burden of Type 1
Diabetes by automatically regulating blood glucose (BG) levels. While many disturbances …
Diabetes by automatically regulating blood glucose (BG) levels. While many disturbances …
Near-optimal feedback control for postprandial glucose regulation in type 1 diabetes
This paper is focused on feedback control of postprandial glucose levels for patients with
type 1 Diabetes Mellitus. There are two important limitations that make this a challenging …
type 1 Diabetes Mellitus. There are two important limitations that make this a challenging …
[HTML][HTML] Quickest detection of bias injection attacks on the glucose sensor in the artificial pancreas under meal disturbances
FE Tosun, AMH Teixeira, MRH Abdalmoaty… - Journal of Process …, 2024 - Elsevier
Modern glucose sensors deployed in closed-loop insulin delivery systems, so-called
artificial pancreas use wireless communication channels. While this allows a flexible system …
artificial pancreas use wireless communication channels. While this allows a flexible system …
Models, devices, properties, and verification of artificial pancreas systems
In this chapter, we present the interplay between models of human physiology, closed-loop
medical devices, correctness specifications, and verification algorithms in the context of the …
medical devices, correctness specifications, and verification algorithms in the context of the …