Browsing NTNU Open by Subject "Kalman filter"
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Blood Glucose Level Prediction Using Subcutaneous Sensors for in Vivo Study: Compensation for Measurement Method Slow Dynamics Using a Kalman Filter Approach
(Chapter, 2022)The continuous glucose monitoring (CGM) system is the most common system used by people with type 1 diabetes to monitor blood glucose levels. However, it measures glucose in interstitial fluid in subcutaneous tissue rather ... -
Differences Between Flash Glucose Monitor and Fingerprick Measurements
(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 ... -
Line-of-sight path-following control utilizing an extended Kalman filter for estimation of speed and course over ground from GNSS positions
(Journal article; Peer reviewed, 2022) -
Meal estimation from Continuous Glucose Monitor data using Kalman filtering and hypothesis testing
(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 ... -
Sensor Fusion for Glucose Monitoring Systems
(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 ...