Diabetes: models, signals, and control

C Cobelli, C Dalla Man, G Sparacino… - IEEE reviews in …, 2009 - ieeexplore.ieee.org
The control of diabetes is an interdisciplinary endeavor, which includes a significant
biomedical engineering component, with traditions of success beginning in the early 1960s …

A review of emerging technologies for the management of diabetes mellitus

K Zarkogianni, E Litsa, K Mitsis, PY Wu… - IEEE Transactions …, 2015 - ieeexplore.ieee.org
Objective: High prevalence of diabetes mellitus (DM) along with the poor health outcomes
and the escalated costs of treatment and care poses the need to focus on prevention, early …

Periodic zone-MPC with asymmetric costs for outpatient-ready safety of an artificial pancreas to treat type 1 diabetes

R Gondhalekar, E Dassau, FJ Doyle III - Automatica, 2016 - Elsevier
Abstract A novel Model Predictive Control (MPC) law for an Artificial Pancreas (AP) to
automatically deliver insulin to people with type 1 diabetes is proposed. The MPC law is an …

Velocity-weighting & velocity-penalty MPC of an artificial pancreas: Improved safety & performance

R Gondhalekar, E Dassau, FJ Doyle III - Automatica, 2018 - Elsevier
Abstract A novel Model Predictive Control (MPC) law for the closed-loop operation of an
Artificial Pancreas (AP) to treat type 1 diabetes is proposed. The contribution of this paper is …

Comparative assessment of glucose prediction models for patients with type 1 diabetes mellitus applying sensors for glucose and physical activity monitoring

K Zarkogianni, K Mitsis, E Litsa, MT Arredondo… - Medical & biological …, 2015 - Springer
The present work presents the comparative assessment of four glucose prediction models
for patients with type 1 diabetes mellitus (T1DM) using data from sensors monitoring blood …

Event-triggered model predictive control for embedded artificial pancreas systems

A Chakrabarty, S Zavitsanou, FJ Doyle… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Objective: The development of artificial pancreas (AP) technology for deployment in low-
energy, embedded devices is contingent upon selecting an efficient control algorithm for …

[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 …

MPC based artificial pancreas: strategies for individualization and meal compensation

P Soru, G De Nicolao, C Toffanin, C Dalla Man… - Annual Reviews in …, 2012 - Elsevier
This paper addresses the design of glucose regulators based on Model Predictive Control
(MPC) to be used as part of Artificial Pancreas devices for type 1 diabetic patients. Two key …

Artificial pancreas: model predictive control design from clinical experience

C Toffanin, M Messori, F Di Palma, G De Nicolao… - 2013 - journals.sagepub.com
Background: The objective of this research is to develop a new artificial pancreas that takes
into account the experience accumulated during more than 5000 h of closed-loop control in …

Use of a “fuzzy logic” controller in a closed-loop artificial pancreas

R Mauseth, IB Hirsch, J Bollyky, R Kircher… - Diabetes technology …, 2013 - liebertpub.com
Background: Most current model-based approaches to closed-loop artificial pancreas
systems rely on mathematical equations describing the human glucoregulatory system; …