Browsing NTNU Open by Author "Davari Benam, Karim"
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Blood Glucose Level Prediction Using Subcutaneous Sensors for in Vivo Study: Compensation for Measurement Method Slow Dynamics Using a Kalman Filter Approach
Halvorsen, Martha; Davari Benam, Karim; Khoshamadi, Hasti; Fougner, Anders Lyngvi (Chapter, 2022)The continuous glucose monitoring (CGM) system is the most common system used by people with type 1 diabetes to monitor blood glucose levels. However, it measures glucose in interstitial fluid in subcutaneous tissue rather ... -
Design and Implementation of the Dual-Hormone Artificial Pancreas in Animal Studies – A Model Predictive Control Approach with Intraperitoneal Hormone Injections
Davari Benam, Karim (Doctoral theses at NTNU;2023:438, Doctoral thesis, 2023)In this thesis, the exploration of new ways to help people with Type 1 Diabetes better control their condition is described. In this research, our primary focus was on the feasibility and benefits of utilizing the ... -
Estimation and Prediction of Glucose Appearance Rate for Use in a Fully Closed-Loop Dual-Hormone Intraperitoneal Artificial Pancreas
Davari Benam, Karim; Gros, Sebastien Nicolas; Fougner, Anders Lyngvi (Peer reviewed; Journal article, 2023)Objective: A fully automated artificial pancreas requires a meal estimator and predictions of blood glucose levels (BGL) to handle disturbances during meal times, all without relying on manual meal announcements and user ... -
Fully Automated Bi-Hormonal Intraperitoneal Artificial Pancreas Using a Two-Layer PID Control Scheme
Langholz, Jana; Davari Benam, Karim; Sharan, Bindu; Gros, Sebastien Nicolas; Fougner, Anders Lyngvi (Chapter, 2023)Treatment of type 1 diabetes mellitus is significantly improved by using commercially available hybrid closed-loop systems to deliver insulin. These systems, also called artificial pancreas (AP), use the subcutaneous (SC) ... -
Identifiable Prediction Animal Model for the Bi-Hormonal Intraperitoneal Artificial Pancreas
Davari Benam, Karim; Khoshamadi, Hasti; Åm, Marte Kierulf; Stavdahl, Øyvind; Gros, Sebastien; Fougner, Anders Lyngvi (Peer reviewed; Journal article, 2022)To achieve a fully automatic artificial pancreas (AP), i.e., an AP without the need for meal announcements, the intraperitoneal (IP) route is explored. This route has faster dynamics than the typical subcutaneous (SC) ... -
A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas
Davari Benam, Karim; Khoshamadi, Hasti; Lema-Pérez, Laura; Gros, Sebastien; Fougner, Anders Lyngvi (Chapter, 2022)Currently, continuous glucose monitoring sensors are used in the artificial pancreas to monitor blood glucose levels. However, insulin and glucagon concentrations in different parts of the body cannot be measured in ... -
Optimal Experimental Design for System Identification in a Bi-Hormonal Intraperitoneal Artificial Pancreas
Engell, Sarah Ellinor; Davari Benam, Karim; Bengtsson, Henrik; Jørgensen, John Bagterp; Fougner, Anders Lyngvi (Chapter, 2024) -
Optimal Experimental Design to Estimate Insulin Response in Type 2 Diabetes
Engell, Sarah Ellinor; Bengtsson, Henrik; Davari Benam, Karim; Fougner, Anders Lyngvi; Jørgensen, John Bagterp (Chapter, 2023)In late-stage type 2 diabetes, automated titration algorithms provide a promising alternative to the current standard-of-care. Many published methods rely on personalized dose-response models to predict a safe and effective ... -
Sensor Fusion for Glucose Monitoring Systems
Al Ahdab, Mohamad; Davari Benam, Karim; Khoshamadi, Hasti; Fougner, Anders Lyngvi; Gros, Sebastien Nicolas (Peer reviewed; Journal article, 2023)A fully automated artificial pancreas (AP) requires accurate blood glucose (BG) readings. However, many factors can affect the accuracy of commercially available sensors. These factors include sensor artifacts due to the ...