Current and emerging technology for continuous glucose monitoring

C Chen, XL Zhao, ZH Li, ZG Zhu, SH Qian, AJ Flewitt - Sensors, 2017 - mdpi.com
Diabetes has become a leading cause of death worldwide. Although there is no cure for
diabetes, blood glucose monitoring combined with appropriate medication can enhance …

A review of personalized blood glucose prediction strategies for T1DM patients

S Oviedo, J Vehí, R Calm… - International journal for …, 2017 - Wiley Online Library
This paper presents a methodological review of models for predicting blood glucose (BG)
concentration, risks and BG events. The surveyed models are classified into three …

[HTML][HTML] Wearable continuous glucose monitoring sensors: a revolution in diabetes treatment

G Cappon, G Acciaroli, M Vettoretti, A Facchinetti… - Electronics, 2017 - mdpi.com
Worldwide, the number of people affected by diabetes is rapidly increasing due to aging
populations and sedentary lifestyles, with the prospect of exceeding 500 million cases in …

[HTML][HTML] Enabling the internet of mobile crowdsourcing health things: A mobile fog computing, blockchain and IoT based continuous glucose monitoring system for …

TM Fernández-Caramés, I Froiz-Míguez… - Sensors, 2019 - mdpi.com
Diabetes patients suffer from abnormal blood glucose levels, which can cause diverse
health disorders that affect their kidneys, heart and vision. Due to these conditions, diabetes …

[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 …

Neural network incorporating meal information improves accuracy of short-time prediction of glucose concentration

C Zecchin, A Facchinetti, G Sparacino… - IEEE transactions on …, 2012 - ieeexplore.ieee.org
Diabetes mellitus is one of the most common chronic diseases, and a clinically important
task in its management is the prevention of hypo/hyperglycemic events. This can be …

Calibration of minimally invasive continuous glucose monitoring sensors: state-of-the-art and current perspectives

G Acciaroli, M Vettoretti, A Facchinetti, G Sparacino - Biosensors, 2018 - mdpi.com
Minimally invasive continuous glucose monitoring (CGM) sensors are wearable medical
devices that provide real-time measurement of subcutaneous glucose concentration. This …

Modeling the glucose sensor error

A Facchinetti, S Del Favero, G Sparacino… - IEEE Transactions …, 2013 - ieeexplore.ieee.org
Continuous glucose monitoring (CGM) sensors are portable devices, employed in the
treatment of diabetes, able to measure glucose concentration in the interstitium almost …

Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information

C Zecchin, A Facchinetti, G Sparacino… - Computer methods and …, 2014 - Elsevier
Several real-time short-term prediction methods, based on time-series modeling of past
continuous glucose monitoring (CGM) sensor data have been proposed with the aim of …

Personalized state-space modeling of glucose dynamics for type 1 diabetes using continuously monitored glucose, insulin dose, and meal intake: An extended …

Q Wang, P Molenaar, S Harsh… - Journal of diabetes …, 2014 - journals.sagepub.com
Background: An essential component of any artificial pancreas is on the prediction of blood
glucose levels as a function of exogenous and endogenous perturbations such as insulin …