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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Vydané v:	Sensors (Basel, Switzerland) Ročník 19; číslo 19; s. 4338
Hlavní autori:	Liu, Chengyuan, Vehí, Josep, Avari, Parizad, Reddy, Monika, Oliver, Nick, Georgiou, Pantelis, Herrero, Pau
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	Switzerland MDPI AG 08.10.2019 MDPI
Predmet:	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
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