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Erschienen in:
Data-Driven and Minimal-Type Compartmental Insulin-Glucose Models: Theory and Applications Kapitel lesen Erstes Kapitel lesen

2014 | OriginalPaper | Buchkapitel

Hypoglycemia Prevention Using Low Glucose Suspend Systems

verfasst von : B. Wayne Bequette

Erschienen in: Data-driven Modeling for Diabetes

Verlag: Springer Berlin Heidelberg

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Abstract

The fear of nocturnal hypoglycemia was one of the main motivations behind the development of continuous glucose monitors (CGM) and hypoglycemic alarms. Since many individuals do not awake to these alarms, the next step is to implement a low glucose suspend (LGS) algorithm that shuts off the insulin infusion pump to avoid hypoglycemia. A threshold-based LGS simply shuts off the pump when the CGM signal has violated a lower limit on glucose. A predictive LGS shuts off the pump when a glucose threshold is predicted to occur within a specified time limit, or horizon. A review of algorithms hypoglycemic predictors/alarms is followed by a presentation of threshold and predictive LGS algorithms. Finally, an overview of the implementation challenges that remain is provided.

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Vorheriges Kapitel Ensemble Glucose Prediction in Insulin-Dependent Diabetes
Nächstes Kapitel Adaptive Algorithms for Personalized Diabetes Treatment
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Metadaten
Titel
Hypoglycemia Prevention Using Low Glucose Suspend Systems
verfasst von
B. Wayne Bequette
Copyright-Jahr
2014
Verlag
Springer Berlin Heidelberg
Buch
Data-driven Modeling for Diabetes

Print ISBN: 978-3-642-54463-7

Electronic ISBN: 978-3-642-54464-4

Copyright-Jahr: 2014

DOI
https://doi.org/10.1007/978-3-642-54464-4_3

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