Continuous Glucose Monitoring Prediction

TL;DR

This paper reviews three continuous meal detection algorithms using CGM data for diabetes management and introduces an initial meal prediction algorithm based on these methods.

Contribution

It presents a comparative analysis of existing algorithms and develops a new initial meal prediction method using CGM data.

Findings

Identified strengths and limitations of current meal detection algorithms

Developed a novel initial meal prediction algorithm

Demonstrated potential for improved diabetes management

Abstract

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.