A systematic stochastic design strategy achieving an optimal tradeoff between peak BGL and probability of hypoglycaemic events for individuals having type 1 …

GC Goodwin, MM Seron, AM Medioli, T Smith… - … Signal Processing and …, 2020 - Elsevier
This paper has two key contributions. The first contribution is a systematic procedure for
fitting an envelope of models which captures a range of possible blood glucose level (BGL) …

[PDF][PDF] Analysis of a stochastic IVGTT glucose-insulin model with time delay

X Shi, Q Zheng, J Yao, J Li, X Zhou - Mathematical Biosciences and …, 2020 - aimspress.com
Diabetes mellituse has been one of the major diseases in the world due to the high
percentage of diabetics in the global population and the increasing growth rate of its onset …

In-silico analysis of stochastic modelling of human blood glucose regulatory system

B Benyó - 2019 IEEE 23rd International Conference on …, 2019 - ieeexplore.ieee.org
Stress-induced hyperglycaemia, an elevated blood glucose level is a common complication
in the intensive care which can be compensated by glycaemic control. However, due to the …

In-Silico Validation of Insulin Sensitivity Prediction by Neural Network-based Quantile Regression

OS Alkhafaf, AB Alsultani, AN Roel, B Szabó, P Pintár… - IFAC-PapersOnLine, 2024 - Elsevier
High blood glucose levels and stress-induced hyperglycemia are common issues in
intensive care units (ICU). Controlling blood glucose levels is crucial but challenging due to …

[PDF][PDF] Medical innovation: using mechatronics engineering to reduce inequities in healthcare.

LR Holder-Pearson - 2022 - ir.canterbury.ac.nz
Medical device innovation provides access to healthcare. Innovations come about be-cause
of pressures, in particular financial pressures, and access to care. With increasing …