Continuous Glucose Monitoring Prediction

• URL: http://arxiv.org/abs/2101.02557v1
• Date: Mon, 4 Jan 2021 21:32:20 GMT
• Title: Continuous Glucose Monitoring Prediction
• Authors: Julia Ann Jose, Trae Waggoner, Sudarsan Manikandan
• Abstract summary: Diabetes is one of the deadliest diseases in the world and affects nearly 10 percent of the global adult population. One major development is a system called continuous blood glucose monitoring (CGM)
• Score: 0.0
• License: http://creativecommons.org/licenses/by/4.0/
• 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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