Ruby Langdon
Ruby Langdon
確認したメール アドレス: pg.canterbury.ac.nz
タイトル引用先
Use of basis functions within a non-linear autoregressive model of pulmonary mechanics
R Langdon, PD Docherty, YS Chiew, K Möller, JG Chase
Biomedical Signal Processing and Control 27, 44-50, 2016
222016
Extrapolation of a non-linear autoregressive model of pulmonary mechanics
R Langdon, PD Docherty, YS Chiew, JG Chase
Mathematical biosciences 284, 32-39, 2017
132017
Implementation of a non-linear autoregressive model with modified Gauss-Newton parameter identification to determine pulmonary mechanics of respiratory patients that are …
R Langdon, PD Docherty, YS Chiew, NS Damanhuri, JG Chase
IFAC-PapersOnLine 48 (20), 354-359, 2015
62015
Performance of variations of the dynamic elastance model in lung mechanics
B Laufer, PD Docherty, A Knörzer, YS Chiew, R Langdon, K Möller, ...
Control Engineering Practice 58, 262-267, 2017
52017
Accurate and precise prediction of insulin sensitivity variance in critically ill patients
R Langdon, PD Docherty, EJ Mansell, JG Chase
Biomedical Signal Processing and Control 39, 327-335, 2018
22018
Prediction of high airway pressure using a non-linear autoregressive model of pulmonary mechanics
R Langdon, PD Docherty, C Schranz, JG Chase
BioMedical Engineering OnLine 16 (1), 126, 2017
22017
Basis function modelling of respiratory patients with high or low auto-PEEP
R Langdon, PD Docherty, JG Chase
IFAC-PapersOnLine 50 (1), 15121-15126, 2017
22017
Interpolation within a Recruitment Manoeuvre using a Non-Linear Autoregressive Model of Pulmonary Mechanics
R Langdon, PD Docherty, YS Chiew, K Möller, JG Chase
IFAC-PapersOnLine 48 (20), 297-302, 2015
22015
Plateau pressure prediction in ARDS patients
R Langdon, PD Docherty, C Schranz, JG Chase
IFAC-PapersOnLine 50 (1), 5480-5485, 2017
12017
Inspiratory and expiratory elastance in a non-linear autoregressive model of pulmonary mechanics
R Langdon, PD Docherty, K Möller
Current Directions in Biomedical Engineering 2 (1), 629-632, 2016
12016
Resistance in a non-linear autoregressive model of pulmonary mechanics
R Langdon, PD Docherty, B Laufer, K Möller
Current Directions in Biomedical Engineering 2 (1), 623-627, 2016
12016
Modelling and prediction of physiological behaviour in critically ill patients
R Langdon
University of Canterbury, 2017
2017
Preventing Lung Damage Via Automation and Optimisation of Mechanical Ventilation for Critically Ill Patients in the Third World
G Blane, NE Gibb, SGS Lim, WR Gillard, DE White, PD Docherty, ...
New Zealand Medical Association (NZMA) 129 (1439), 89-90, 2016
2016
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