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Hardwarex|May 31, 2022
Low cost circulatory pressure acquisition and fluid infusion rate measurement system for clinical researchRachel Smith, Amelia Rolfe, Chris Cameron, et al.Journal of Critical Care|February 16, 2015
Glucose control positively influences patient outcome: A retrospective studySophie Penning, Chris Pretty, Jean-Charles Preiser, et al.Computer Methods and Programs in Biomedicine|February 22, 2005
Integral-based parameter identification for long-term dynamic verification of a glucose-insulin system modelChristopher E Hann, J Geoffrey Chase, Jessica Lin, et al.Computer Methods and Programs in Biomedicine|January 21, 2011
Development of blood glucose control for extremely premature infantsAaron J Le Compte, J Geoffrey Chase, Adrienne Lynn, et al.Computer Methods and Programs in Biomedicine|September 29, 2004
Quantifying agitation in sedated ICU patients using digital imagingJ Geoffrey Chase, Franck Agogue, Christina Starfinger, et al.IEEE Transactions on Bio-Medical Engineering|November 4, 2009
Blood glucose prediction using stochastic modeling in neonatal intensive careAaron J Le Compte, Dominic S Lee, J Geoffrey Chase, et al.Biomedical Engineering Online|October 24, 2019
3D kernel-density stochastic model for more personalized glycaemic control: development and in-silico validationVincent Uyttendaele, Jennifer L Knopp, Shaun Davidson, et al.Journal of Diabetes Science and Technology|November 4, 2009
A benchmark data set for model-based glycemic control in critical careJ Geoffrey Chase, Aaron LeCompte, Geoffrey M Shaw, et al.Journal of Diabetes Science and Technology|August 6, 2013
On the problem of patient-specific endogenous glucose production in neonates on stochastic targeted glycemic controlJennifer L Dickson, James N Hewett, Cameron A Gunn, et al.Intensive & Critical Care Nursing|July 13, 2016
Clinical Activity Monitoring System (CATS): An automatic system to quantify bedside clinical activities in the intensive care unitPeng Guo, Yeong Shiong Chiew, Geoffrey M Shaw, et al.Pageof 34