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dc.contributor.authorMohamad Amin, Bakhshali
dc.contributor.authorDaneshvar, Sabalan
dc.contributor.authorMafi, Mahsa
dc.date.accessioned2012-10-10T09:04:53Z
dc.date.available2012-10-10T09:04:53Z
dc.date.issued2012-02-27
dc.identifier.citationp. 186-190en_US
dc.identifier.isbn978-145771989-9
dc.identifier.urihttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179002
dc.identifier.urihttp://dspace.unimap.edu.my/123456789/21290
dc.descriptionLink to publisher's homepage at http://ieeexplore.ieee.org/en_US
dc.description.abstractHeart is one of the most vital body organs and defect in each part of it leads to failure in the normal blood supply and, as a result, heart diseases emerge. The abnormality of TGA or the Transposition of Great Arteries is one of the most common and fatal diseases among all kinds of congenital heart diseases in infants. In this kind of defect, systemic and pulmonary blood circulation pathways are placed in parallel rather than in series. In the present research, a classic model called PHYSBE, which is a complete model of human circulation system, is used for modeling the abnormality of TGA. Modeling this kind of abnormality predicts a decrease of blood pressure to 75 MmHg and an increase of blood volume to 108 ml in the left heart and an increase of blood pressure and blood volume to 113 MmHg and 356 ml in the right heart, respectively, which is in complete consistency with the mechanism of TGA abnormalityen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.ispartofseriesProceedings of the International Conference on Biomedical Engineering (ICoBE 2012)en_US
dc.subjectHearten_US
dc.subjectAortaen_US
dc.subjectPulmonary arteryen_US
dc.subjectTransposition of Great Arteries (TGA) abnormalityen_US
dc.subjectPHYSBE modelen_US
dc.titleModeling the heart defect of transposition of the great arteries using the PHYSBE modelen_US
dc.typeWorking Paperen_US
dc.contributor.urlm_bakhshali@sut.ac.iren_US
dc.contributor.urldaneshvar@sut.ac.iren_US
dc.contributor.urlm_mafi@sut.ac.iren_US


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