A Novel Meal Detection Algorithm for an Artificial Pancreas [Pòster]

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orcId Ramkissoon, Charrise Mary​ ​ ​ ​
Ramkissoon, Charrise Mary
orcId Herrero i Viñas, Pau​ ​ ​ ​
Herrero i Viñas, Pau
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Bondia, Jorge
orcId Vehí, Josep​ researcherId Vehí, Josep​ scopusId Vehí, Josep​ ​
Vehí, Josep
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Postprandial glucose fluctuations are a challenge to daytime closed-loop control1,2 in type 1 diabetes (T1D). It is predicted that the high number of missed meal boluses experienced during insulin pump therapy3 will carry over to artificial pancreas therapy. Therefore, a means to reduce poor outcomes due to unannounced meals must be developed. The aim of this study is to implement an algorithm to detect meals using data from a continuous glucose monitor (CGM) and the insulin delivered to the subject ​
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