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ORCIDAnders Lyngvi Fougner
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- affiliation: Norwegian University of Science and Technology, Trondheim, Norway
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2020 – today
- 2024
[j5]Miriam Kopperstad Wolff
, Hans Georg Schaathun, Anders Lyngvi Fougner, Martin Steinert, Rune Volden:
Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction. IEEE Access 12: 5910-5919 (2024)- [j4]Karim Davari Benam, Sebastien Gros, Anders Lyngvi Fougner:
Estimation and Prediction of Glucose Appearance Rate for Use in a Fully Closed-Loop Dual-Hormone Intraperitoneal Artificial Pancreas. IEEE Trans. Biomed. Eng. 71(1): 343-354 (2024) - [c11]Sarah Ellinor Engell, Karim Davari Benam, Henrik Bengtsson, John Bagterp Jørgensen, Anders Lyngvi Fougner:
Optimal Experimental Design for System Identification in a Bi-Hormonal Intraperitoneal Artificial Pancreas. ECC 2024: 856-861 - [c10]Miriam Kopperstad Wolff, Martin Steinert, Anders Lyngvi Fougner, Doyoung Oh, Eirik Årsand, Rune Volden:
Real-Time Blood Glucose Prediction Reveals a Discrepancy Between Performance Metrics and Real-World Evaluations. RCAR 2024: 570-575 - [i1]Miriam Kopperstad Wolff, Sam Royston, Anders Lyngvi Fougner, Hans Georg Schaathun, Martin Steinert, Rune Volden:
GluPredKit: Development and User Evaluation of a Standardization Software for Blood Glucose Prediction. CoRR abs/2406.08915 (2024) - 2023
- [c9]Sarah Ellinor Engell, Henrik Bengtsson, Karim Davari Benam, Anders Lyngvi Fougner, John Bagterp Jørgensen:
Optimal Experimental Design to Estimate Insulin Response in Type 2 Diabetes. CCTA 2023: 540-545 - [c8]Jana Langholz, Karim Davari Benam, Bindu Sharan, Sebastien Gros, Anders Lyngvi Fougner:
Fully Automated Bi-Hormonal Intraperitoneal Artificial Pancreas Using a Two-Layer PID Control Scheme. ECC 2023: 1-8 - 2022
- [j3]Claudia López Zazueta, Øyvind Stavdahl, Anders Lyngvi Fougner:
Low-Order Nonlinear Animal Model of Glucose Dynamics for a Bihormonal Intraperitoneal Artificial Pancreas. IEEE Trans. Biomed. Eng. 69(3): 1273-1280 (2022) - [c7]Martha Halvorsen, Karim Davari Benam, Hasti Khoshamadi, Anders Lyngvi Fougner:
Blood Glucose Level Prediction Using Subcutaneous Sensors for in Vivo Study: Compensation for Measurement Method Slow Dynamics Using Kalman Filter Approach. CDC 2022: 6034-6039 - [c6]Karim Davari Benam, Hasti Khoshamadi, Laura Lema-Pérez, Sebastien Gros, Anders Lyngvi Fougner:
A Nonlinear State Observer for the Bi-Hormonal Intraperitoneal Artificial Pancreas. EMBC 2022: 171-176 - 2021
- [c5]Mads Wikmark Formo, Øyvind Stavdahl, Anders Lyngvi Fougner:
Modelling and simulation of occlusions in insulin pumps*. EMBC 2021: 1499-1503 - 2020
- [j2]Konstanze Kölle, Torben Biester, Sverre Christiansen, Anders Lyngvi Fougner, Øyvind Stavdahl:
Pattern Recognition Reveals Characteristic Postprandial Glucose Changes: Non-Individualized Meal Detection in Diabetes Mellitus Type 1. IEEE J. Biomed. Health Informatics 24(2): 594-602 (2020)
2010 – 2019
- 2019
- [j1]Odd M. Staal, Steinar Saelid, Anders Lyngvi Fougner, Øyvind Stavdahl:
Kalman Smoothing for Objective and Automatic Preprocessing of Glucose Data. IEEE J. Biomed. Health Informatics 23(1): 218-226 (2019) - [c4]Odd M. Staal, Anders Lyngvi Fougner, Steinar Saelid, Øyvind Stavdahl:
Glucose-insulin metabolism model reduction and parameter selection using sensitivity analysis. ACC 2019: 4104-4111 - [c3]Odd Martin Staal, Steinar Sælid, Anders Lyngvi Fougner, Øyvind Stavdahl:
Meal estimation from Continuous Glucose Monitor data using Kalman filtering and hypothesis testing. CDC 2019: 5654-5661 - 2017
- [c2]Konstanze Kölle, Anders Lyngvi Fougner, Øyvind Stavdahl:
Meal detection based on non-individualized moving horizon estimation and classification. CCTA 2017: 529-535 - 2011
- [c1]Anders Lyngvi Fougner, Erik J. Scheme, Adrian D. C. Chan, Kevin B. Englehart, Øyvind Stavdahl:
A multi-modal approach for hand motion classification using surface EMG and accelerometers. EMBC 2011: 4247-4250
Coauthor Index
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