Long-Term Glucose Forecasting Using a Physiological Model and Deconvolution of the Continuous Glucose Monitoring Signal

(1) Objective: Blood glucose forecasting in type 1 diabetes (T1D) management is a maturing field with numerous algorithms being published and a few of them having reached the commercialisation stage. However, accurate long-term glucose predictions (e.g., >60 min), which are usually needed in appl...

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Veröffentlicht in:	Sensors (Basel, Switzerland) Jg. 19; H. 19; S. 4338
Hauptverfasser:	Liu, Chengyuan, Vehí, Josep, Avari, Parizad, Reddy, Monika, Oliver, Nick, Georgiou, Pantelis, Herrero, Pau
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Switzerland MDPI AG 08.10.2019 MDPI
Schlagworte:	Accuracy Adult Algorithms artificial pancreas Blood Glucose Blood Glucose Self-Monitoring - methods Carbohydrates continuous glucose monitoring deconvolution Diabetes Mellitus, Type 1 - blood Female Forecasting Forecasting - methods Glucose monitoring glucose prediction Humans Hyperglycemia Hypoglycemia Hypoglycemia - blood Insulin Insulin - blood Insulin Infusion Systems Kalman filters Male Meals Models, Biological Parameter identification physiological modelling Physiology type 1 diabetes deconvolution physiological modelling type 1 diabetes glucose prediction artificial pancreas continuous glucose monitoring
ISSN:	1424-8220, 1424-8220
Online-Zugang:	Volltext
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