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dc.contributor.authorDenai, Mouloud
dc.contributor.authorMahfouf, M.
dc.contributor.authorMills, G.H.
dc.date.accessioned2014-07-21T10:00:17Z
dc.date.available2014-07-21T10:00:17Z
dc.date.issued2008
dc.identifier.citationDenai , M , Mahfouf , M & Mills , G H 2008 , ' Modeling and Simulation of Electrical Impedance Tomography (EIT) on Ventilated Patients with ARDS Lungs ' , Paper presented at 8th IEEE Conference on BioInformatics and BioEngineering , Athens , Greece , 8/10/08 - 10/10/08 .
dc.identifier.citationconference
dc.identifier.urihttp://hdl.handle.net/2299/13974
dc.descriptionMouloud Denaï, Mahdi Mahfouf, and Gary H. Mills, 'Modeling and Simulation of Electrical Impedance Tomography (EIT) on Ventilated Patients with ARDS Lungs'. Paper presented at the 8th IEEE Conference on BioInformatics and Bioengineering, 8-10 October 2008, Athens, Greece.
dc.description.abstractBedside monitoring of lung recruitment is a key feature in the ventilatory management of patients with acute respiratory distress syndrome. Electrical Impedance Tomography is a relatively new imaging technique which reconstructs the electrical conductivity distribution in a lung cross section from electrical measurements made on electrodes placed on the surface of the thorax. The induced conductivity changes can be continuously monitored to assess the topographical distribution of air in the lung and optimise the ventilation strategy. The purpose of this paper is to illustrate these principles on a physiological model of the lung mechanics simulating the concept of recruitment in ventilated patients with acute respiratory distress syndrome.en
dc.format.extent311566
dc.language.isoeng
dc.titleModeling and Simulation of Electrical Impedance Tomography (EIT) on Ventilated Patients with ARDS Lungsen
dc.contributor.institutionSchool of Physics, Engineering & Computer Science
dc.contributor.institutionDepartment of Engineering and Technology
dc.contributor.institutionCentre for Engineering Research
dc.contributor.institutionCommunications and Intelligent Systems
dc.description.statusPeer reviewed
rioxxterms.typeOther
herts.preservation.rarelyaccessedtrue


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