Browsing NTNU Open by Author "Staal, Odd Martin"

Now showing items 1-6 of 6

    • Blood glucose dynamics: Identification, smoothing and real time estimation in free-living settings 

      Staal, Odd Martin (Doctoral theses at NTNU;2019:132, Doctoral thesis, 2019)
      Diabetes currently affects about 9% of the world’s population, and causes loss or impairment of the body’s ability to control blood glucose (BG). Frequent BG measurements and medications, including insulin injections, are ...

    • Cancellation of Movement Artifacts in GlucoseSensor Data 

      Nøstbakken, Roar Tordahl (Master thesis, 2017)
      The BioMKR wearable device developed by Prediktor Medical is aiming to be the first non-invasive continuous glucose monitoring device on the consumer market. The data gathered by the device, however, contains movement ...

    • Differences Between Flash Glucose Monitor and Fingerprick Measurements 

      Staal, Odd Martin; Hansen, Heidi Marie Umbach; Christiansen, Sverre; Fougner, Anders Lyngvi; Carlsen, Sven Magnus; Stavdahl, Øyvind (Journal article; Peer reviewed, 2018)
      Freestyle Libre (FL) is a factory calibrated Flash Glucose Monitor (FGM). We investigated Mean Absolute Relative Difference (MARD) between Self Monitoring of Blood Glucose (SMBG) and FL measurements in the first day of ...

    • 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 ...

    • Kalman smoothing for objective and automatic preprocessing of glucose data 

      Staal, Odd Martin; Sælid, Steinar; Fougner, Anders Lyngvi; Stavdahl, Øyvind (Journal article; Peer reviewed, 2018)
      A method for preprocessing a time series of glucose measurements based on Kalman smoothing is presented. Given a glucose data time series that may be irregularly sampled, the method outputs an interpolated time series of ...

    • 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 ...