Continuous Glucose Monitoring Prediction
This work addresses the problem of meal detection and prediction for diabetic patients using CGM data, which could aid in diabetes management.
This paper reviews three continuous meal detection algorithms developed using continuous glucose monitoring (CGM) data from diabetic patients. Based on this analysis, an initial meal prediction algorithm was also developed.
Diabetes is one of the deadliest diseases in the world and affects nearly 10 percent of the global adult population. Fortunately, powerful new technologies allow for a consistent and reliable treatment plan for people with diabetes. One major development is a system called continuous blood glucose monitoring (CGM). In this review, we look at three different continuous meal detection algorithms that were developed using given CGM data from patients with diabetes. From this analysis, an initial meal prediction algorithm was also developed utilizing these methods.