A multi-modal approach for hand motion classification using surface EMG and accelerometers. - Anders Lyngvi Fougner; Erik J. Scheme; Adrian D. C. Chan; Kevin B. Englehart; Øyvind Stavdahl (EMBC, 2011)

Meal detection based on non-individualized moving horizon estimation and classification. - Konstanze Kölle; Anders Lyngvi Fougner; Øyvind Stavdahl (CCTA, 2017)

Glucose-insulin metabolism model reduction and parameter selection using sensitivity analysis. - Odd M. Staal; Anders Lyngvi Fougner; Steinar Saelid; Øyvind Stavdahl (ACC, 2019)

Meal estimation from Continuous Glucose Monitor data using Kalman filtering and hypothesis testing. - Odd Martin Staal; Steinar Sælid; Anders Lyngvi Fougner; Øyvind Stavdahl (CDC, 2019)

Kalman Smoothing for Objective and Automatic Preprocessing of Glucose Data. - Odd M. Staal; Steinar Saelid; Anders Lyngvi Fougner; Øyvind Stavdahl (IEEE J. Biomed. Health Informatics, 2019)

Pattern Recognition Reveals Characteristic Postprandial Glucose Changes: Non-Individualized Meal Detection in Diabetes Mellitus Type 1. - Konstanze Kölle; Torben Biester; Sverre Christiansen; Anders Lyngvi Fougner; Øyvind Stavdahl (IEEE J. Biomed. Health Informatics, 2020)

Modelling and simulation of occlusions in insulin pumps*. - Mads Wikmark Formo; Øyvind Stavdahl; Anders Lyngvi Fougner (EMBC, 2021)

Blood Glucose Level Prediction Using Subcutaneous Sensors for in Vivo Study: Compensation for Measurement Method Slow Dynamics Using Kalman Filter Approach. - Martha Halvorsen; Karim Davari Benam; Hasti Khoshamadi; Anders Lyngvi Fougner (CDC, 2022)

A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas. - Karim Davari Benam; Hasti Khoshamadi; Laura Lema-Pérez; Sebastien Gros; Anders Lyngvi Fougner (EMBC, 2022)

Low-Order Nonlinear Animal Model of Glucose Dynamics for a Bihormonal Intraperitoneal Artificial Pancreas. - Claudia López Zazueta; Øyvind Stavdahl; Anders Lyngvi Fougner (IEEE Trans. Biomed. Eng., 2022)

Optimal Experimental Design to Estimate Insulin Response in Type 2 Diabetes. - Sarah Ellinor Engell; Henrik Bengtsson; Karim Davari Benam; Anders Lyngvi Fougner; John Bagterp Jørgensen (CCTA, 2023)

Fully Automated Bi-Hormonal Intraperitoneal Artificial Pancreas Using a Two-Layer PID Control Scheme. - Jana Langholz; Karim Davari Benam; Bindu Sharan; Sebastien Gros; Anders Lyngvi Fougner (ECC, 2023)

Optimal Experimental Design for System Identification in a Bi-Hormonal Intraperitoneal Artificial Pancreas. - Sarah Ellinor Engell; Karim Davari Benam; Henrik Bengtsson; John Bagterp Jørgensen; Anders Lyngvi Fougner (ECC, 2024)

Real-Time Blood Glucose Prediction Reveals a Discrepancy Between Performance Metrics and Real-World Evaluations. - Miriam Kopperstad Wolff; Martin Steinert; Anders Lyngvi Fougner; Doyoung Oh; Eirik Årsand; Rune Volden (RCAR, 2024)

Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction. - Miriam Kopperstad Wolff; Hans Georg Schaathun; Anders Lyngvi Fougner; Martin Steinert; Rune Volden (IEEE Access, 2024)

GluPredKit: Development and User Evaluation of a Standardization Software for Blood Glucose Prediction. - Miriam Kopperstad Wolff; Sam Royston; Anders Lyngvi Fougner; Hans Georg Schaathun; Martin Steinert; Rune Volden (CoRR, 2024)

Estimation and Prediction of Glucose Appearance Rate for Use in a Fully Closed-Loop Dual-Hormone Intraperitoneal Artificial Pancreas. - Karim Davari Benam; Sebastien Gros; Anders Lyngvi Fougner (IEEE Trans. Biomed. Eng., 2024)