Design of an online-tuned model based compound controller for a fully automated artificial pancreas

Robust controller for artificial pancreas for patients with type-1 diabetes

“…In order to test the efficiency of the proposed controller, the performance of the controller is compared with the results of compound internal model control (IMC) strategy (Bhattacharjee et al 2019 ). In this case, the same meal Scenario 1 is considered for testing purpose as given in literature (Bhattacharjee et al 2019 ), and the meal scenario is given in Table 4 . Simulation time and start time of the simulation are also taken here same.…”

“…Thus, robust BG regulation in patient’s cardiovascular system is necessary in the presence of process and sensor noises along with patient parameter variations due to different reasons. Several dynamic models (Bergman et al 1981 ; Sorensen 1985 ; Hovorka et al 2004 ; Man et al 2007 ) of glucose-insulin process in T1DM patients and various control approaches (Bequette 2012 ; Parker et al 2000 ; Mandal and Sutradhar 2017 ; Ali and Padhi 2009 ; Dua et al 2009 ; Batmani 2017 ; Nath and Dey 2019 ; Magni et al 2007 ; Patek et al 2007 ; Colmegna et al 2014 ; Mandal and Sutradhar 2019 ; Lee et al 2013 ; Bhattacharjee et al 2019 ) have been studied and applied by the researchers. Performances of these controllers for automatic insulin infusion systems have different pros and cons depending on the model selected and control strategy used.…”

The role of infrared thermography (IRT) and magnetic resonance imaging (MRI) in brown fat evaluation and their application to study the effect of thyroid status on brown fat activity and white fat partitioning

“…Subjects then proceeded to CIRC. After they were positioned in the PET scanner, they were injected with 18-FDG and underwent dynamic PET scanning for [45][46][47][48][49][50][51][52][53][54][55][56][57][58][59][60].…”

New Contributions Towards Meal and Exercise Announcement-Free Artificial Pancreas Systems

“…Since this controller includes a safety layer to limit the insulin-on-board, the upper limit of the insulin-on-board is also modified to allow a more aggressive behavior right after the detection though decreasing after (Fushimi et al 2020). The idea of switching to a more aggressive controller has also been adopted by Bhattacharjee et al (2019) in the context of internal model control.…”

“…Meal detection is appealing to free diabetic patients from carbohydrate counting. These algorithms can determine whether a meal occurred; with this information, the controller can temporaly increase the insulin delivery, infusing some insulin boluses (Fathi et al 2019;Mahmoudi et al 2019) or switching to a more aggressive controller (Fushimi et al 2019;Bhattacharjee et al 2019).…”