The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Goal: Automated glucose control (AGC) has not yet reached the point where it can be applied clinically <xref ref-type="bibr" rid="ref3">[3]</xref>. Challenges are accuracy of subcutaneous (SC) glucose sensors, physiological lag times, and both inter- and intraindividual variability. To address above issues, we developed a novel scheme for MPC that can be applied to...
In the manufacturing sector, energy demand is not considered as a manufacturing process variable when devising production schedules. This presents the potential for a large variance in the energy consumption culminating from the summation of individual machine energy demands. If not controlled, this can result in damage to the local power infrastructure. Traditional methods for protecting against...
Nowadays, the requirements in the high quality managing and mathematical modeling of diabetes are increasing. Due to the several types of this chronic disease the problem represents a challenging task that was mostly covered in the literature for type 1 diabetes while examining algorithms for artificial pancreas. The aim of the current paper is to analyze a recently developed novel time-delay diabetes...
We propose a method to identify diurnal changes in insulin action in patients suffering from type 1 diabetes mellitus (T1DM) based on data recorded by continuous glucose monitoring systems (CGMS). In order to do so the data is fitted using a continuous time transfer function including time dependent terms. The identified values for the insulin needs per gram of carbohydrate were compared with the...
Patients with diabetes must continually monitor their blood glucose levels and adjust insulin doses, striving to keep blood glucose levels as close to normal as possible. Blood glucose levels that deviate from the normal range can lead to serious short-term and long-term complications. An automatic prediction model that warned people of imminent changes in their blood glucose levels would enable them...
As the "artificial pancreas" becomes closer to reality, automated insulin delivery based on real-time glucose measurements becomes feasible for people with diabetes. This paper employs a new approach to regulate the blood glucose level of type I diabetic patient under an intensive insulin treatment. The closed-loop control scheme incorporates the design of robust H???? controller to maintain...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.