A common method of diabetes treatment is monitoring of blood glucose using a continuous glucose monitor(CGM). These monitors come in different forms, but are often uncomfortable because they penetrate the skin with needles. For this project, an alternative, smaller sensor is explored for which the design process is centred. This sensor is inserted into the dermis layer of the skin, measuring interstitial fluid glucose and should be less invasive and more comfortable to the user.
The project is divided into two parts, one discussing the sensor reading circuit, and the other the digital processing of sensor information. This report is on the digital processing, and will convert sensor data into blood glucose concentration estimates. To achieve this, various mathematical models and filter techniques are implemented and evaluated. The subsequent system is subdivided into modules, each performing a task in the total process line. The report gives a general introduction to the broad topic and eventually outlines the structure and motivation behind these models.
In the end a Kalman filter and biophysical blood-interstitial fluid dynamics model are shown to improve performance over a linear model in an in silico test environment.
This work represents a step towards a working glucose sensor which can be used in CGM solutions, with the potential application in both clinical and at-home diabetes management.