References of "Shaw, GM"
     in
Bookmark and Share    
Full Text
Peer Reviewed
See detailSafety and Performance of Stochastic Targeted (STAR) TGC of Insulin and Nutrition
Shaw, GM; Le Compte, Aaron; Evans, A et al

in Proceedings of SQAO 2011 (2011)

Detailed reference viewed: 16 (0 ULg)
Full Text
Peer Reviewed
See detailModel-based diagnosis of acute pulmonary embolism and septic shock in porcine trials
Revie, JA; Stevenson, D; Chase, JG et al

in Proceedings of the Health Research Society of Christchurch Annual Scientific Session 2011 (2011)

Detailed reference viewed: 11 (2 ULg)
Full Text
Peer Reviewed
See detailEnteral nutrition-associated incretin effect in the critically ill
Preiser, JC; Jamaludin, U; Docherty, P et al

in Proceedings of the 33rd Congress of Clinical Nutrition and Metabolism (ESPEN 2011) (2011)

Detailed reference viewed: 16 (1 ULg)
Full Text
Peer Reviewed
See detailObservation of the Incretin Effect in Critically Ill patients
Jamaludin, U.; Docherty, P; Chase, JG et al

in Proceedings of the 11th Annual Diabetes Technology Meeting (DTM2011) (2011)

Detailed reference viewed: 6 (0 ULg)
Full Text
Peer Reviewed
See detailPatient specific modelling of cardiac muscle activation
Stevenson, D; Hann, CE; Revie, JA et al

in Proceedings of the Health Research Society of Canterbury (HRSC) Clinical Meeting 2010 (2010)

Detailed reference viewed: 5 (0 ULg)
Full Text
Peer Reviewed
See detailModel-based cardiac disease diagnosis in critical care
Revie, JA; Hann, CE; Stevenson, D et al

in Proceedings of the Health Research Society of Canterbury (HRSC) Clinical Meeting 2010 (2010)

Detailed reference viewed: 5 (0 ULg)
Full Text
Peer Reviewed
See detailEstimating the driver function of a cardiovascular system model
Stevenson, D; Hann, CE; Chase, JG et al

in Proceedings of CONTROL 2010 (2010)

Detailed reference viewed: 4 (0 ULg)
Full Text
Peer Reviewed
See detailA Model-based Approach to Cardiovascular Monitoring of Pulmonary Embolism
Revie, JA; Hann, CE; Stevenson, D et al

in Proceedings of CONTROL 2010 (2010)

Detailed reference viewed: 10 (0 ULg)
Full Text
Peer Reviewed
See detailAssessment of ventricular-arterial coupling with a model-based sensor
Desaive, Thomas ULg; LAMBERMONT, Bernard ULg; GHUYSEN, Alexandre ULg et al

in Proceedings of CONTROL 2010 (2010)

Detailed reference viewed: 8 (2 ULg)
Full Text
Peer Reviewed
See detailPatient-specific modelling of cardiovascular dysfunction: Identifying models of pulmonary embolism in pigs
Desaive, Thomas ULg; Revie, J; Hann, CE et al

in Proceedings of the 19th International Conference of the Cardiovascular System Dynamics Society (2010)

Detailed reference viewed: 7 (0 ULg)
Full Text
Peer Reviewed
See detailThe critical role of carbohydrate administration in safe, effective TGC
Preiser, J-C; Suhaimi, F; Chase, JG et al

in Clinical Nutrition (2010), 5 (Suppl 2):111

Detailed reference viewed: 6 (1 ULg)
Full Text
Peer Reviewed
See detailValidation of a virtual trial method for tight glycemic control in intensive care
Suhaimi, F; Chase, JG; Preiser, JC et al

in Proceedings of the Health Research Society of Canterbury (HRSC) Clinical Meeting 2010 (2010)

Detailed reference viewed: 10 (2 ULg)
Peer Reviewed
See detailTight Glycaemic control and nutrition: A comparison of two protocols
Suhaimi, F; Le Compte, AJ; Preiser, JC et al

in Proceedings of the Centre for Bio-Engineering One Day Conference 2010 (2010)

Detailed reference viewed: 14 (2 ULg)
Peer Reviewed
See detailValidation of a Model-based Virtual Trials Method for Tight Glycaemic Control in Intensive Care
Suhaimi, F; Chase, JG; Le Compte, AJ et al

in Proceedings of the Centre for Bio-Engineering One Day Conference 2010 (2010)

Detailed reference viewed: 1 (0 ULg)
Full Text
Peer Reviewed
See detailWhy Protocolised care works in my unit?
Shaw, GM; Chase, JG; Pfeiffer, L et al

in Proceedings of the Australia-New Zealand Intensive Care Society Scientific Meeting (ANZICS 2010) (2010)

Detailed reference viewed: 9 (0 ULg)
Full Text
Peer Reviewed
See detailUnique parameter identification for cardiac diagnosis in critical care using minimal data sets.
Hann, C. E.; Chase, J. G.; Desaive, Thomas ULg et al

in Computer Methods & Programs in Biomedicine (2010)

Lumped parameter approaches for modelling the cardiovascular system typically have many parameters of which a significant percentage are often not identifiable from limited data sets. Hence, significant ... [more ▼]

Lumped parameter approaches for modelling the cardiovascular system typically have many parameters of which a significant percentage are often not identifiable from limited data sets. Hence, significant parts of the model are required to be simulated with little overall effect on the accuracy of data fitting, as well as dramatically increasing the complexity of parameter identification. This separates sub-structures of more complex cardiovascular system models to create uniquely identifiable simplified models that are one to one with the measurements. In addition, a new concept of parameter identification is presented where the changes in the parameters are treated as an actuation force into a feed back control system, and the reference output is taken to be steady state values of measured volume and pressure. The major advantage of the method is that when it converges, it must be at the global minimum so that the solution that best fits the data is always found. By utilizing continuous information from the arterial/pulmonary pressure waveforms and the end-diastolic time, it is shown that potentially, the ventricle volume is not required in the data set, which was a requirement in earlier published work. The simplified models can also act as a bridge to identifying more sophisticated cardiac models, by providing an initial set of patient specific parameters that can reveal trends and interactions in the data over time. The goal is to apply the simplified models to retrospective data on groups of patients to help characterize population trends or un-modelled dynamics within known bounds. These trends can assist in improved prediction of patient responses to cardiac disturbance and therapy intervention with potentially smaller and less invasive data sets. In this way a more complex model that takes into account individual patient variation can be developed, and applied to the improvement of cardiovascular management in critical care. [less ▲]

Detailed reference viewed: 32 (11 ULg)
Full Text
Peer Reviewed
See detailModel-based prediction of the patient-specific response to adrenaline
Chase, J. G.; Starfinger, C.; Hann, C. E. et al

in The open medical informatics journal (2010), 4

Detailed reference viewed: 17 (0 ULg)
Peer Reviewed
See detailUnique parameter identification of a cardiovascular system model using feedback control
Hann, C. E.; Chase, J. G.; Desaive, Thomas ULg et al

in Proc. 7th Intl Conf on Control and Automation (ICCA09) (2009, December)

Detailed reference viewed: 20 (1 ULg)
Full Text
Peer Reviewed
See detailModel-based Cardiovascular Therapeutics: Capturing the patient-specific impact of inotrope therapy
Desaive, Thomas ULg; Starfinger, C; Chase, JG et al

in Proceedings of the 3rd International Meeting of the French Society of Hypertension (2009)

Detailed reference viewed: 10 (0 ULg)
Peer Reviewed
See detailRobust parameter identification for model-based cardiac diagnosis in critical care
Hann, C. E.; Chase, J. C.; Desaive, Thomas ULg et al

in Proceedings of the 6th IFAC Symposium on Modeling and Control in Biomedical Systems (MCBMS09) (2009)

Detailed reference viewed: 14 (4 ULg)