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    AuthorChase, J.G. (56)Shaw, G.M. (42)Desaive, T. (30)Pretty, C.G. (22)Hann, C.E. (16)Le Compte, A.J. (15)Lambermont, B. (11)Chase JG (9)Lin, J. (9)Penning, S. (9)... View MoreSubject
    09 - Engineering (74)
    11 - Medical and Health Sciences (74)
    critical care (13)intensive care (9)glycemic control (8)ICU (5)mechanical ventilation (5)simulation (5)TGC (5)cardiovascular system (4)... View MoreDate Issued2018 (6)2017 (5)2016 (4)2015 (4)2014 (7)2013 (17)2012 (11)2011 (13)2010 (7)

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    Independent cohort cross-validation of the real-time DISTq estimation of insulin sensitivity 

    Docherty, P.D.; Chase, J.G.; Lotz, T.F.; Hann, C.E.; Shaw, G.M.; Berkeley, J.E.; TeMorenaga, L.; Mann, J.I.; McAuley, K. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Mechanical Engineering, 2011)
    Insulin sensitivity (SI) is useful in the diagnosis, screening and treatment of diabetes. However, most current tests cannot provide an accurate, immediate or real-time estimate. The DISTq method does not require insulin ...
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    Daily Evolution of Insulin Sensitivity Variability with Respect to Diagnosis in the Critically Ill 

    Ferenci, T.; Benyo, B.; Kovacs, L.; Fisk, L.; Shaw, G.M.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2013)
    This study examines the likelihood and evolution of overall and hypoglycemia-inducing variability of insulin sensitivity in ICU patients based on diagnosis and day of stay.
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    Subject-specific cardiovascular system model-based identification and diagnosis of septic shock with a minimally invasive data set: Animal experiments and proof of concept 

    Chase, J.G.; Lambermont, B.; Starfinger, C.; Hann, C.E.; Shaw, G.M.; Ghuysen, A.; Kolh, P.; Dauby, P.C.; Desaive, T. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Mechanical Engineering, 2011)
    A cardiovascular system (CVS) model and parameter identification method have previously been validated for identifying different cardiac and circulatory dysfunctions in simulation and using porcine models of pulmonary ...
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    Development and optimisation of stochastic targeted (STAR) glycaemic control for pre-term infants in neonatal intensive care 

    Dickson, J.L.; Le Compte, A.J.; Floyd, R.P.; Chase, J.G.; Lynn, A.; Shaw, G.M. (University of Canterbury. Chemical and Process EngineeringUniversity of Canterbury. Mechanical Engineering, 2013)
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    Expiratory model-based method to monitor ARDS disease state 

    Van Drunen, E.J.; Chiew, Y.S.; Chase, J.G.; Shaw, G.M.; Lambermont, B.C.; Janssen, N.; Damanhuri, N.S.; Desaive, T. (University of Canterbury. Mechanical Engineering, 2013)
    Introduction: Model-based methods can be used to characterise patient-specific condition and response to mechanical ventilation (MV) during treatment for acute respiratory distress syndrome (ARDS). Conventional metrics ...
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    A simplified model for mitral valve dynamics 

    Moorhead, K.T.; Paeme, S.; Chase, J.G.; Kolh, P.; Pierard, L.; Hann, C.E.; Dauby, P.C.; Desaive, T. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Mechanical Engineering, 2013)
    Located between the left atrium and the left ventricle, the mitral valve controls flow between these two cardiac chambers. Mitral valve dysfunction is a major cause of cardiac dysfunction and its dynamics are little known. ...
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    Clinical validation of the quick dynamic insulin sensitivity test 

    Docherty, P.D.; Berkeley, J.E.; Lotz, T.F.; Te Morenaga, L.; Shaw, G.M.; McAuley, K.A.; Mann, J.I.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2013)
    The quick dynamic insulin sensitivity test (DISTq) can yield an insulin sensitivity result immediately after a 30-min clinical protocol. The test uses intravenous boluses of 10 g glucose and 1 U insulin at $t$ = 1 and 11 ...
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    Unique parameter identification for cardiac diagnosis in critical care using minimal data sets 

    Hann, C.E.; Chase, J.G.; Desaive, T.; Froissart, C.B.; Revie, J.; Stevenson, D.; Lambermont, B.; Ghuysen, A.; Kolh, P.; Shaw, G.M. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Mechanical Engineering, 2010)
    Lumped parameter approaches for modelling the cardiovascular system typically havemany parameters of which a significant percentage are often not identifiable from limited data sets. Hence, significant parts of the model ...
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    Cardiac output estimation using pulmonary mechanics in mechanically ventilated patients 

    Sundaresan, A.; Chase, J.G.; Hann, C.E.; Shaw, G.M. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Mechanical Engineering, 2010)
    The application of positive end expiratory pressure (PEEP) in mechanically ventilated (MV) patients with acute respiratory distress syndrome (ARDS) decreases cardiac output (CO). Accurate measurement of CO is highly ...
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    Measurement of BOLD changes due to cued eye-closure and stopping during a continuous visuomotor task via model-based and model-free approaches 

    Poudel, G.R.; Jones, R.D.; Innes, C.R.H.; Bones, P.J.; Watts, R.; Davidson, P.R. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Physics and Astronomy, 2010)
    As a precursor for investigation of changes in neural activity underlying lapses of responsiveness, we set up a system to simultaneously record functional magnetic resonance imaging (fMRI), eye-video, EOG, and continuous ...
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