Continuous Glucose Monitoring Prediction

Julia Ann Jose; Trae Waggoner; Sudarsan Manikandan

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arXiv · 2101.02557

Continuous Glucose Monitoring Prediction

Julia Ann Jose·Trae Waggoner·Sudarsan Manikandan

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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.

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Julia Ann Jose, Trae Waggoner, Sudarsan Manikandan. 2021-01-04. Continuous Glucose Monitoring Prediction. https://arxiv.org/abs/2101.02557

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