115 citations · 165 across the 7 of their papers we have counts for
Showing 2018Show all
3 papers · 1 filter
q-bio.TO2018★ 5 cited
Enhancing Blood Glucose Prediction with Meal Absorption and Physical Exercise Information
Chengyuan Liu, Josep Vehi, Nick Oliver +2
Objective: Numerous glucose prediction algorithm have been proposed to empower type 1 diabetes (T1D) management. Most of these algorithms only account for input such as glucose, in…
cs.CV2018★ 15 cited
Convolutional Recurrent Neural Networks for Glucose Prediction
Kezhi Li, John Daniels, Chengyuan Liu +2
Control of blood glucose is essential for diabetes management. Current digital therapeutic approaches for subjects with Type 1 diabetes mellitus (T1DM) such as the artificial pancr…
physics.app-ph2018★ 6 cited
Body Dust: Miniaturized Highly-integrated Low Power Sensing for Remotely Powered Drinkable CMOS Bioelectronics
Sandro Carrara, Pantelis Georgiou
The aim of this paper is to introduce current advances in technology that could enable the development of fully drinkable and autonomous bio-electronic CMOS sensors in the form of…