Blar i Institutt for teknisk kybernetikk på emneord "Diabetes"

Viser treff 1-9 av 9

    • Data-Driven Classifiers for Early Meal Detection Using ECG 

      Cheema, Muhammad Asaad; Patil, Pallavi; Siddiqui, Salman Ijaz; Salvo Rossi, Pierluigi; Stavdahl, Øyvind; Fougner, Anders Lyngvi (Peer reviewed; Journal article, 2023)
      This study investigates the potential of the electrocardiogram (ECG) to perform early meal detection, which is critical for developing a fully-functional automatic artificial pancreas. The study was conducted in a group ...

    • Effect of sensor location on continuous intraperitoneal glucose sensing in an animal model 

      Åm, Marte Kierulf; Kölle, Konstanze; Fougner, Anders Lyngvi; Dirnena-Fusini, Ilze; Bösch, Patrick Christian; Ellingsen, Reinold; Hjelme, Dag Roar; Stavdahl, Øyvind; Carlsen, Sven Magnus; Christiansen, Sverre (Journal article; Peer reviewed, 2018)
      In diabetes research, the development of the artificial pancreas has been a major topic since continuous glucose monitoring became available in the early 2000’s. A prerequisite for an artificial pancreas is fast and reliable ...

    • Glucose-insulin metabolism model reduction and parameter selection using sensitivity analysis 

      Staal, Odd Martin; Fougner, Anders Lyngvi; Sælid, Steinar; Stavdahl, Øyvind (Journal article; Peer reviewed, 2019)
      Glucose-insulin metabolism models are useful tools for research on diabetes, in development of diabetes-related medical devices like artificial pancreas systems, insulin pumps and continuous glucose monitors, and may also ...

    • Intraperitoneal and subcutaneous glucagon delivery in anaesthetized pigs: effects on circulating glucagon and glucose levels 

      Åm, Marte Kierulf; Dirnena-Fusini, Ilze; Fougner, Anders Lyngvi; Carlsen, Sven Magnus; Christiansen, Sverre (Journal article; Peer reviewed, 2020)
      Glucagon is a pancreatic hormone and increases the blood glucose levels. It may be incorporated in a dual hormone artificial pancreas, a device to automatically and continuously control blood glucose levels of individuals ...

    • Low-Order Nonlinear Animal Model of Glucose Dynamics for a Bihormonal Intraperitoneal Artificial Pancreas 

      Lopez Zazueta, Claudia; Stavdahl, Øyvind; Fougner, Anders Lyngvi (Peer reviewed; Journal article, 2021)
      Objective: The design of an Artificial Pancreas to regulate blood glucose levels requires reliable control methods. Model Predictive Control has emerged as a promising approach for glycemia control. However, model-based ...

    • Meal estimation from Continuous Glucose Monitor data using Kalman filtering and hypothesis testing 

      Staal, Odd Martin; Sælid, Steinar; Fougner, Anders Lyngvi; Stavdahl, Øyvind (Journal article; Peer reviewed, 2019)
      A method for estimating meal inputs from Continuous Glucose Monitoring (CGM) data is presented. The method is based on Kalman filtering and hypothesis testing, and provides estimates of the time the meal was initiated and ...

    • Mobile Software Development Kit for Real Time Multivariate Blood Glucose Prediction 

      Wolff, Miriam Kopperstad; Schaathun, Hans Georg; Fougner, Anders Lyngvi; Steinert, Martin; Volden, Rune (Journal article; Peer reviewed, 2024)
      In the field of blood glucose prediction, the literature is abounded with algorithms that demonstrate potential in glucose management. However, these propositions face an issue common to many machine learning algorithms: ...

    • Pilot study of Early Meal Onset Detection from Abdominal Sounds 

      Setti, Sunilkumar Telagam; Søiland, Elise; Stavdahl, Øyvind; Fougner, Anders Lyngvi (Chapter, 2019)
      A typical artificial pancreas depends only on the continuous glucose monitoring (CGM) value for insulin dosing. However, both the insulin infusion and the glucose sensing are subject to time delays and slow dynamics. An ...

    • 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 ...