Now showing items 1-13 of 13

    • Analysis of different model-based approaches for estimating dFRC for real-time aplication 

      Van Drunen, E.J.; Chase, J.G.; Chiew, Y.S.; Shaw, G.M.; Desaive, T. (University of Canterbury. Mechanical Engineering, 2013)
      Background: Acute Respiratory Distress Syndrome (ARDS) is characterized by inflammation, filling of the lung with fluid and the collapse of lung units. Mechanical ventilation (MV) is used to treat ARDS using positive end ...
    • Assessment of ventricular contractility and ventricular-arterial coupling with a model-based sensor 

      Desaive, T.; Lambermont, B.; Janssen, N.; Ghuysen, A.; Kolh, P.; Morimont, P.; Dauby, P.C.; Starfinger, C.; Shaw, G.M.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2013)
      Estimation of ventricular contractility and ventricular arterial coupling is clinically important in diagnosing cardiac dysfunction in the critically ill. However, experimental assessment of indexes of ventricular ...
    • Data entry errors and design for model-based tight glycemic control in critical care 

      Ward, L.; Steel, J.; LeCompte, A.J.; Evans, A.; Tan, C.S.; Penning, S.; Shaw, G.M.; Desaive, T.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2012)
      Introduction: Tight glycemic control (TGC) has shown benefits but has been difficult to achieve consistently. Model-based methods and computerized protocols offer the opportunity to improve TGC quality but require human ...
    • First pilot trial of the STAR-Liege protocol for tight glycemic control in critically ill patients 

      Penning, S.; Le Compte, A.J.; Moorhead, K.T.; Desaive, T.; Massion, P.; Preiser, J.C.; Shaw, G.M.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2012)
      Tight glycemic control (TGC) has shown benefits in ICU patients, but been difficult to achieve consistently due to inter- and intra- patient variability that requires more adaptive, patient-specific solutions. STAR (Stochastic ...
    • Insulin sensitivity tools for critical care. 

      Blakemore, Amy (University of Canterbury. Mechanical Engineering, 2009)
      Stress induced hyperglycaemia is prevalent in critical care. Since the landmark paper published by Van den Berghe et al. (2001) a great deal of attention has been paid to intensive insulin therapy in an ICU setting to ...
    • Mechanical Ventilation Modelling and Optimisation 

      van Drunen, Erwin Johan (University of Canterbury. Mechanical Engineering, 2013)
      Acute Respiratory Distress Syndrome (ARDS) is associated with lung inflammation and fluid filling, resulting in a stiffer lung with reduced intrapulmonary gas volume. ARDS patients are admitted to the Intensive Care Unit ...
    • Model predictive glycaemic regulation in critical illness using insulin and nutrition input: a pilot study 

      Wong, X-W.; Chase, J.G.; Shaw, G.M.; Hann, C.E.; Lotz, T.; Lin, J.; Singh-Levett, I.; Hollingsworth, L.J.; Wong, O.S.W.; Andreassen, S. (University of Canterbury. Chemical and Process Engineering.University of Canterbury. Mechanical Engineering., 2006)
      This paper develops and presents a pilot study of a long-term controller for safe regulation of glycaemia under elevated insulin resistance and glucose intolerance in critically ill patients by modulating enteral nutrition ...
    • Model-based approach to estimate Dfrc in the ICU using measured lung dynamics 

      Mishra, A.; Chiew, Y.S.; Shaw, G.M.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2012)
      Acute Respiratory Distress Syndrome (ARDS) is characterized by inflammation, filling of the lung with fluid and collapsed lung unit. Mechanical ventilation (MV) is used to treat ARDS/ALI using positive end expiratory ...
    • Simulation and initial proof-of-concept validation of a glycaemic regulation algorithm in critical care 

      Wong, X.W.; Chase, J.G.; Shaw, G.M.; Hann, C.E.; Lotz, T.; Lin, J.; Singh-Levett, I.; Hollingsworth, L. (University of Canterbury. Mechanical Engineering., 2008)
      Glycaemic control can reduce mortality in intensive care by 45%. A model-based control algorithm utilising insulin and nutritional glucose inputs is presented. Simulated long-term gluco-regulatory trials with the virtual-patient ...
    • Stochastic targeted (STAR) glycemic control: Design, safety and performance 

      Evans, A.; Le Compte, A.J.; Tan, C-S.; Ward, L.; Steel, J.; Pretty, C.G.; Penning, S.; Suhaimi, F.; Shaw, G.M.; Desaive, T.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2012)
      Introduction: Tight glycemic control (TGC) has shown benefits but has been difficult to achieve consistently. STAR (Stochastic TARgeted) is a flexible, model-based TGC approach that directly ...
    • Tight Glycemic Control in Critical Care - The leading role of insulin sensitivity and patient variability – A review and model-based analysis 

      Chase, J.G.; Le Compte, A.J.; Suhaimi, F.; Shaw, G.M.; Lynn, A.; Lin, J.; Pretty, C.G.; Razak, N.N.; Parente, J.D.; Hann, C.E.; Preiser, J-C.; Desaive, T. (University of Canterbury. Electrical and Computer EngineeringUniversity of Canterbury. Mathematics and StatisticsUniversity of Canterbury. Mechanical Engineering, 2011)
      Tight glycemic control (TGC) has emerged as a major research focus in critical care due to its potential to simultaneously reduce both mortality and costs. However, repeating initial successful TGC trials that reduced ...
    • Tight Glycemic Control in Intensive Care: From engineering to clinical practice change 

      Chase, J.G.; Le Compte, A.J.; Evans, A.; Ward, L.; Steel, J.; Tan, C-S.; Pretty, C.G.; Penning, S.; Desaive, T.; Shaw, G.M. (University of Canterbury. Mechanical Engineering, 2011)
      Tight glycemic control (TGC) is prevalent in critical care. Providing safe, effective TGC has proven very difficult to achieve with clinically derived protocols. The prob-lem is exacerbated by extreme patient variability ...
    • What Makes Tight Glycemic Control Tight? The Impact of Variability and Nutrition in Two Clinical Studies 

      Suhaimi, F.; LeCompte, A.J.; Preiser, J-C.; Shaw, G.M.; Massion, P.; Radermecker, R.P.; Pretty, C.G.; Lin, J.; Desaive, T.; Chase, J.G. (University of Canterbury. Mechanical Engineering, 2010)
      Tight glycemic control (TGC) remains controversial, and successful, consistent and effective protocols elusive. This research analyses data from 2 TGC trials for root causes of the differences achieved in control and thus ...