Absolute EIT coupled to a blood gas physiological model for the assessment of lung ventilation in critical care patients

Hdl Handle:
http://hdl.handle.net/10149/189269
Title:
Absolute EIT coupled to a blood gas physiological model for the assessment of lung ventilation in critical care patients
Authors:
Mohamad-Samuri, S. (Suzani); Mahfouf, M. (Mahdi); Denaï, M. A. (Mouloud); Ross, J. J. (Jonathan); Mills, G. H. (Gary)
Affiliation:
University of Sheffield. Department of Automatic Control and Systems Engineering.
Citation:
Mohamad-Samuri, S. et. al. (2011) 'Absolute EIT coupled to a blood gas physiological model for the assessment of lung ventilation in critical care patients', Journal of Clinical Monitoring and Computing, 25 (1), pp.27-28.
Publisher:
Springer Verlag
Journal:
Journal of Clinical Monitoring and Computing
Conference:
21st meeting of the European society for computing and technology in anaesthesia and intensive care (ESCTAIC), Amsterdam, The Netherlands, 6th–9th October, 2010
Issue Date:
Feb-2011
URI:
http://hdl.handle.net/10149/189269
DOI:
10.1007/s10877-011-9276-2
Additional Links:
http://www.springerlink.com/index/10.1007/s10877-011-9276-2
Type:
Article
Language:
en
Keywords:
data-driven physiological model; SOPAVent[1]; Sheffield Mk3.5 absolute electrical impedance tomography; aEIT; lung functions; ventilation therapy; critical care patients
ISSN:
1387-1307; 1573-2614
Rights:
Author can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 10/11/2011]
Citation Count:
0 [Web of Science and Scopus, 10/11/2011]

Full metadata record

DC FieldValue Language
dc.contributor.authorMohamad-Samuri, S. (Suzani)en
dc.contributor.authorMahfouf, M. (Mahdi)en
dc.contributor.authorDenaï, M. A. (Mouloud)en
dc.contributor.authorRoss, J. J. (Jonathan)en
dc.contributor.authorMills, G. H. (Gary)en
dc.date.accessioned2011-11-10T10:14:00Z-
dc.date.available2011-11-10T10:14:00Z-
dc.date.issued2011-02-
dc.identifier.citationJournal of Clinical Monitoring and Computing; 25 (1): 27-28en
dc.identifier.issn1387-1307-
dc.identifier.issn1573-2614-
dc.identifier.doi10.1007/s10877-011-9276-2-
dc.identifier.urihttp://hdl.handle.net/10149/189269-
dc.language.isoenen
dc.publisherSpringer Verlagen
dc.relation.urlhttp://www.springerlink.com/index/10.1007/s10877-011-9276-2en
dc.rightsAuthor can archive post-print (ie final draft post-refereeing). For full details see http://www.sherpa.ac.uk/romeo/ [Accessed 10/11/2011]en
dc.subjectdata-driven physiological modelen
dc.subjectSOPAVent[1]en
dc.subjectSheffield Mk3.5 absolute electrical impedance tomographyen
dc.subjectaEITen
dc.subjectlung functionsen
dc.subjectventilation therapyen
dc.subjectcritical care patientsen
dc.titleAbsolute EIT coupled to a blood gas physiological model for the assessment of lung ventilation in critical care patientsen
dc.typeArticleen
dc.contributor.departmentUniversity of Sheffield. Department of Automatic Control and Systems Engineering.en
dc.identifier.journalJournal of Clinical Monitoring and Computingen
dc.identifier.conference21st meeting of the European society for computing and technology in anaesthesia and intensive care (ESCTAIC), Amsterdam, The Netherlands, 6th–9th October, 2010en
ref.citationcount0 [Web of Science and Scopus, 10/11/2011]en
or.citation.harvardMohamad-Samuri, S. et. al. (2011) 'Absolute EIT coupled to a blood gas physiological model for the assessment of lung ventilation in critical care patients', Journal of Clinical Monitoring and Computing, 25 (1), pp.27-28.en
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