A previously proposed on-line meal estimation based on a feedback structure is modified and coupled with and impulsive zone model predictive controller.
Abstract—Meal announcement is a method used to improve the performance of control schemes for blood glucose regu- lation in type 1 diabetes treatments.
We study two delay-coupled oscillators with cubic-type nonlinearity and two delay-coupled oscillators with Bessel-type nonlinearity. An analytical and numerical ...
On-line meal detection module coupled with a zone MPC for closed-loop blood glucose control. https://doi.org/10.1109/ccta49430.2022.9966047.
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The aim of this study is to develop an algorithm for detection of unannounced meals and an insulin bolus calculator (BC) to work in combination with the ...
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Jan 8, 2022 · We propose an algorithm based on a deep learning framework that performs multitask quantile regression, for both meal detection and carbohydrate estimation.
A simple automatic meal detection and carbohydrate amount estimation from readings of blood glucose (BG) and insulin infusion was developed.
In this paper, we tailor a zone model predictive controller (zone-MPC), an optimization-based control strategy that uses model predictions, for use during ...
Mar 13, 2023 · We present a robust insulin delivery system that includes automated meal detection and carbohydrate content estimation using machine learning ...
For closed-loop control of a 3-meal scenario (50, 75, and 100 g CHO), the GRID improved median time in the 80-180 mg/dL range by 17% and in the >180 range by 14 ...