2026-04-17T07:33:56Zhttps://recercat.cat/oai/request

oai:recercat.cat:10256/185842024-06-13T09:51:39Zcom_2072_453036com_2072_2054col_2072_453038

00925njm 22002777a 4500 dc Ramkissoon, Charrise Mary author Herrero i Viñas, Pau author Bondia, Jorge author Vehí, Josep author 2017-02 Pòster de congrés presentat a: 10th International Conference on Advanced Technologies and Treatments for Diabetes (ATTD 2017), celebrat a París del 15 al 18 de febrer de 2017 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 DPI2013-46982-1-R/2-R, R, Feder Funds http://hdl.handle.net/10256/18584 Intel·ligència artificial -- Aplicacions a la medicina -- Congressos Artificial intelligence -- Medical applications -- Congresses Pàncrees artificial -- Congressos Artificial pancreas -- Congresses Diabetis -- Tractament -- Congressos Diabetes -- Treatment -- Congresses Insulina -- Congressos Insuline -- Congresses A Novel Meal Detection Algorithm for an Artificial Pancreas [Pòster]