Consensus recommendations for the use of automated insulin delivery technologies in clinical practice
M Phillip, R Nimri, RM Bergenstal… - Endocrine …, 2023 - academic.oup.com
The significant and growing global prevalence of diabetes continues to challenge people
with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal …
with diabetes (PwD), healthcare providers, and payers. While maintaining near-normal …
An overview of advancements in closed-loop artificial pancreas system
D Dermawan, MAK Purbayanto - Heliyon, 2022 - cell.com
Abstract Type 1 diabetes (T1D) is one of the world's health problems with a prevalence of
1.1 million for children and young adults under the age of 20. T1D is a health problem …
1.1 million for children and young adults under the age of 20. T1D is a health problem …
[图书][B] Introduction to modeling in physiology and medicine
C Cobelli, E Carson - 2019 - books.google.com
Introduction to Modeling in Physiology and Medicine, Second Edition, develops a clear
understanding of the fundamental principles of good modeling methodology. Sections show …
understanding of the fundamental principles of good modeling methodology. Sections show …
Automatic regulatory control in type 1 diabetes without carbohydrate counting
A new approach to automatically regulate the glucose level in type 1 diabetes is presented
in this work. This is the so-called Automatic Regulation of Glucose (ARG) algorithm, which is …
in this work. This is the so-called Automatic Regulation of Glucose (ARG) algorithm, which is …
A dual mode adaptive basal-bolus advisor based on reinforcement learning
Q Sun, MV Jankovic, J Budzinski… - IEEE journal of …, 2018 - ieeexplore.ieee.org
Self-monitoring of blood glucose (SMBG) and continuous glucose monitoring (CGM) are
commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The …
commonly used by type 1 diabetes (T1D) patients to measure glucose concentrations. The …
In silico trials of an open-source android-based artificial pancreas: a new paradigm to test safety and efficacy of do-it-yourself systems
C Toffanin, M Kozak, Z Sumnik, C Cobelli… - Diabetes technology …, 2020 - liebertpub.com
Objective: Safety data on Do-It-Yourself Artificial Pancreas Systems are missing. The most
widespread in Europe is the AndroidAPS implementation of the OpenAPS algorithm. We …
widespread in Europe is the AndroidAPS implementation of the OpenAPS algorithm. We …
Model predictive control with integral action for artificial pancreas
Abstract A Model Predictive Control (MPC) approach with integral action, called Integral
MPC (IMPC), for Artificial Pancreas systems is proposed. IMPC ensures beneficial effects in …
MPC (IMPC), for Artificial Pancreas systems is proposed. IMPC ensures beneficial effects in …
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 …
Therapy-driven deep glucose forecasting
The automatic regulation of blood glucose for Type 1 diabetes patients is the main goal of
the artificial pancreas, a closed-loop system that exploits continue glucose monitoring data …
the artificial pancreas, a closed-loop system that exploits continue glucose monitoring data …