[HTML][HTML] Continuous glucose monitoring sensors for diabetes management: a review of technologies and applications

G Cappon, M Vettoretti, G Sparacino… - … & metabolism journal, 2019 - synapse.koreamed.org
By providing blood glucose (BG) concentration measurements in an almost continuous-time
fashion for several consecutive days, wearable minimally-invasive continuous glucose …

[PDF][PDF] 2019 Clinical practice guidelines for type 2 diabetes mellitus in Korea

G Cappon, M Vettoretti, G Sparacino… - Diabetes & …, 2019 - synapse.koreamed.org
By providing blood glucose (BG) concentration measurements in an almost continuous-time
fashion for several consecutive days, wearable minimally-invasive continuous glucose …

Specification-based monitoring of cyber-physical systems: a survey on theory, tools and applications

E Bartocci, J Deshmukh, A Donzé, G Fainekos… - Lectures on Runtime …, 2018 - Springer
Abstract The term Cyber-Physical Systems (CPS) typically refers to engineered, physical
and biological systems monitored and/or controlled by an embedded computational core …

Feature-based machine learning model for real-time hypoglycemia prediction

D Dave, DJ DeSalvo, B Haridas… - Journal of Diabetes …, 2021 - journals.sagepub.com
Background: Hypoglycemia is a serious health concern in youth with type 1 diabetes (T1D).
Real-time data from continuous glucose monitoring (CGM) can be used to predict …

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 …

Challenges and recent progress in the development of a closed-loop artificial pancreas

BW Bequette - Annual reviews in control, 2012 - Elsevier
Pursuit of a closed-loop artificial pancreas that automatically controls the blood glucose of
individuals with type 1 diabetes has intensified during the past 6years. Here we discuss the …

Artificial intelligence in decision support systems for type 1 diabetes

NS Tyler, PG Jacobs - Sensors, 2020 - mdpi.com
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 …

A randomized trial of a home system to reduce nocturnal hypoglycemia in type 1 diabetes

DM Maahs, P Calhoun, BA Buckingham… - Diabetes …, 2014 - Am Diabetes Assoc
OBJECTIVE Overnight hypoglycemia occurs frequently in individuals with type 1 diabetes
and can result in loss of consciousness, seizure, or even death. We conducted an in-home …

Predictive low-glucose insulin suspension reduces duration of nocturnal hypoglycemia in children without increasing ketosis

BA Buckingham, D Raghinaru, F Cameron… - Diabetes …, 2015 - Am Diabetes Assoc
OBJECTIVE Nocturnal hypoglycemia can cause seizures and is a major impediment to tight
glycemic control, especially in young children with type 1 diabetes. We conducted an in …

Forecasting of glucose levels and hypoglycemic events: head-to-head comparison of linear and nonlinear data-driven algorithms based on continuous glucose …

F Prendin, S Del Favero, M Vettoretti, G Sparacino… - Sensors, 2021 - mdpi.com
In type 1 diabetes management, the availability of algorithms capable of accurately
forecasting future blood glucose (BG) concentrations and hypoglycemic episodes could …