S. Morton

发表

Development of virtual patients for use in mechanical ventilation

J. Chase, G. Shaw, J. Knopp, 2019 .

Effective sample size estimation for a mechanical ventilation trial through Monte-Carlo simulation: Length of mechanical ventilation and Ventilator Free Days.

E. Moltchanova, G. Shaw, C. Pretty, 2017, Mathematical biosciences.

Virtual Patient Modeling and Prediction Validation for Pressure Controlled Mechanical Ventilation

J. Chase, M. Tawhai, K. Moeller, 2020 .

Basis function identification of lung mechanics in mechanical ventilation for predicting outcomes of therapy changes: A first virtual patient

J. Dickson, J. Chase, G. Shaw, 2018 .

A Variable Resistance Respiratory Mechanics Model

Kyeong Tae Kim, J. Chase, D. Redmond, 2017 .

Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function

J. Chase, G. Shaw, K. Möller, 2019, Annals of Biomedical Engineering.

Quantifying patient effort in spontaneously breathing patient using negative component of dynamic Elastance

Kyeong Tae Kim, J. Chase, D. Redmond, 2017 .

Virtual Patients for Managing Mechanical Ventilation in the ICU

J. Chase, J. Knopp, S. Morton, 2019 .

Validation of a Model-based Method for Estimating Functional Volume Gains during Recruitment Manoeuvres in Mechanical Ventilation

J. Chase, G. Shaw, P. Docherty, 2018 .

Estimation of Inspiratory Respiratory Elastance Using Expiratory Data

Kyeong Tae Kim, C. Pretty, M. Tawhai, 2018 .

Development of a Predictive Pulmonary Elastance Model to Describe Lung Mechanics throughout Recruitment Manoeuvres

J. Chase, G. Shaw, M. Tawhai, 2018 .

A virtual patient model for mechanical ventilation

J. Geoffrey Chase, Geoffrey M. Shaw, Thomas Desaive, 2018, Comput. Methods Programs Biomed..

Inspiratory respiratory mechanics estimation by using expiratory data for reverse-triggered breathing cycles

J G Chase, S L Howe, D P Redmond, 2019, Comput. Methods Programs Biomed..

Optimising mechanical ventilation through model-based methods and automation

J. Geoffrey Chase, Merryn H. Tawhai, Knut Möller, 2019, Annual Reviews in Control.

Predictive Virtual Patient Modelling of Mechanical Ventilation: Impact of Recruitment Function

J. Chase, G. Shaw, K. Möller, 2019, Annals of Biomedical Engineering.

36th International Symposium on Intensive Care and Emergency Medicine

R. Pizov, E. Mancini, G. Van den Berghe, 2016, Critical Care.

Changes in Identified, Model-based Insulin Sensitivity can be used to Improve Risk and Variability Forecasting in Glycaemic Control

Geoffrey M. Shaw, Thomas Desaive, Jennifer L. Dickson, 2018 .

Prediction of lung mechanics throughout recruitment maneuvers in pressure-controlled ventilation

Knut Möller, J Geoffrey Chase, Merryn H Tawhai, 2020, Comput. Methods Programs Biomed..

Model-based PEEP titration versus standard practice in mechanical ventilation: a randomised controlled trial

Kyeong Tae Kim, J. Chase, G. Shaw, 2020, Trials.

Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

R. Pizov, E. Mancini, G. Van den Berghe, 2016, Critical Care.

Dispatcher assisted telephone cardiopulmonary resuscitation using a french-language compression-ventilation pediatric protocol

A. Zwinderman, J. Kellum, M. Tucci, 2016 .