Tinna B. Aradottir

According to our database, Tinna B. Aradottir authored at least 12 papers between 2017 and 2022.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2022

Correlation in Dose-Response to Rapid- and Long-Acting Insulin for People with Type 1 Diabetes.

Sarah Ellinor Engell, Tinna Björk Aradóttir, Henrik Bengtsson, John Bagterp Jørgensen

Proceedings of the 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2022

Estimating a Personalized Basal Insulin Dose from Short-Term Closed-Loop Data in Type 2 Diabetes.

Sarah Ellinor Engell, Tinna Björk Aradóttir, Tobias K. S. Ritschel, Henrik Bengtsson, John Bagterp Jørgensen

Proceedings of the 61st IEEE Conference on Decision and Control, 2022

2021

A New Stochastic Approach for Modeling Glycemic Disturbances in Type 2 Diabetes.

Henrik Glavind Clausen, Torben Knudsen, Mohamad Al Ahdab, Tinna Björk Aradóttir, Signe Schmidt, Kirsten Nørgaard, John Leth

IEEE Trans. Biomed. Eng., 2021

A Model-Free Approach to Automatic Dose Guidance in Long Acting Insulin Treatment of Type 2 Diabetes.

Dinesh Krishnamoorthy, Dimitri Boiroux, Tinna Björk Aradóttir, Sarah Ellinor Engell, John Bagterp Jørgensen

IEEE Control. Syst. Lett., 2021

Parameter Estimation in Type 2 Diabetes in the Presence of Unannounced Meals and Unmodelled Disturbances^*.

Mohamad Al Ahdab, Henrik Glavind Clausen, Torben Knudsen, Tinna Björk Aradóttir, Signe Schmidt, Kirsten Nørgaard, John Leth

Proceedings of the 2021 European Control Conference, 2021

Parameter Estimation for a Jump Diffusion Model of Type 2 Diabetic Patients in the Presence of Unannounced Meals.

Mohamad Al Ahdab, Milan Papez, Torben Knudsen, Tinna Björk Aradóttir, Signe Schmidt, Kirsten Nørgaard, John Leth

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

2019

An Adaptive Model-Based Approach to Personalized Basal Insulin Initiation in Type 2 Diabetes.

Tinna Björk Aradóttir

PhD thesis, 2019

Model predictive control for dose guidance in long acting insulin treatment of type 2 diabetes.

Tinna Björk Aradóttir, Dimitri Boiroux, Henrik Bengtsson, Jonas Kildegaard, Morten Lind Jensen, John Bagterp Jørgensen, Niels Kjølstad Poulsen

IFAC J. Syst. Control., 2019

Model predictive control with sub-frequency actuation for long acting insulin treatment in type 2 diabetes.

Tinna B. Aradóttir, Dimitri Boiroux, Henrik Bengtsson, John Bagterp Jørgensen, Niels Kjølstad Poulsen

Proceedings of the 2019 IEEE Conference on Control Technology and Applications, 2019

Modelling the glucose-insulin system of type 2 diabetes patients using ARMAX models.

Barbara Martinovic, John Leth, Torben Knudsen, Tinna Björk Aradóttir, Henrik Bengtsson

Proceedings of the 2019 Australian & New Zealand Control Conference (ANZCC), 2019

2018

Modelling of fasting glucose-insulin dynamics from sparse data^*.

Tinna B. Aradottir, Dimitri Boiroux, Henrik Bengtsson, Niels Kjølstad Poulsen

Proceedings of the 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2018

2017

A deep learning approach to adherence detection for type 2 diabetics.

Ali Mohebbi, Tinna B. Aradottir, Alexander R. Johansen, Henrik Bengtsson, Marco Fraccaro, Morten Mørup

Proceedings of the 2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2017