Browsing Institutt for teknisk kybernetikk by Subject "Meal detection"

Now showing items 1-4 of 4

    • 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 ...

    • 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 ...

    • Pattern recognition reveals characteristic postprandial glucose changes: Non-individualized meal detection in diabetes mellitus type 1 

      Kölle, Konstanze; Biester, Torben; Christiansen, Sverre; Fougner, Anders Lyngvi; Stavdahl, Øyvind (Journal article; Peer reviewed, 2019)
      Accurate continuous glucose monitoring (CGM) is essential for fully automated glucose control in diabetes mellitus type 1. State-of-the-art glucose control systems automatically regulate the basal insulin infusion. Users ...

    • 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 ...