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An analysis of the impact of the inclusion of expiration da..:

Morton, Sophie Elizabeth ; Docherty PD ; Dickson JL.
Morton SE, Docherty PD, Dickson JL, Chase G (2018). An analysis of the impact of the inclusion of expiration data on the fitting of a predictive pulmonary elastance model. Aachen, Germany: 52nd Annual Conference of the German Society for Biomedical Engineering (BMT 2018). 26/09/2018-28/09/2018. Current Directions in Biomedical Engineering. 4. 1. 255-258.. , 2019

Link: http://hdl.handle.net/10092/17614

RT Journal
T1 <Title>An analysis of the impact of the inclusion of expiration data on the fitting of a predictive pulmonary elastance model</Title>

UL https://suche.suub.uni-bremen.de/peid=base-ftunivcanter:oai:ir.canterbury.ac.nz:10092_17614&Exemplar=1&LAN=DE
				
A1 Morton, Sophie Elizabeth
A1 Docherty PD
A1 Dickson JL
A1 Chase J.G
YR 2019
K1 Pulmonary elastance
K1 Mechanical ventilation
K1 system identification
K1 prediction
K1 Fields of Research::40 - Engineering::4003 - Biomedical engineering::400303 - Biomechanical engineering
K1 Fields of Research::32 - Biomedical and clinical sciences::3202 - Clinical sciences::320212 - Intensive care
JF Morton SE, Docherty PD, Dickson JL, Chase G (2018). An analysis of the impact of the inclusion of expiration data on the fitting of a predictive pulmonary elastance model. Aachen, Germany: 52nd Annual Conference of the German Society for Biomedical Engineering (BMT 2018). 26/09/2018-28/09/2018. Current Directions in Biomedical Engineering. 4. 1. 255-258.
LK http://hdl.handle.net/10092/17614
DO http://hdl.handle.net/10092/17614
SF ELIB - SuUB Bremen

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