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dc.contributor.authorCai, Zhipengen_US
dc.contributor.authorLi, Jianqingen_US
dc.contributor.authorLuo, Kanen_US
dc.contributor.authorLin, Bor-Shyhen_US
dc.contributor.authorWang, Zhigangen_US
dc.contributor.authorZhang, Xiangyuen_US
dc.contributor.authorLiu, Chengyuen_US
dc.date.accessioned2019-05-02T00:25:58Z-
dc.date.available2019-05-02T00:25:58Z-
dc.date.issued2019-01-01en_US
dc.identifier.issn2169-3536en_US
dc.identifier.urihttp://dx.doi.org/10.1109/ACCESS.2019.2904707en_US
dc.identifier.urihttp://hdl.handle.net/11536/151689-
dc.description.abstractMyocardial infarction (MI) is one of the major causes of death. Thus, understanding the underlying mechanisms of MI and its clinical features, especially its relationship with common electrocardiography measurements, is important. Heart modeling provides a possible method to simulate certain heart conditions. In this paper, a refined MI torso-heart model was proposed to explore the effect of inferior MI on simulated electrocardiograms. This model simulated the electrical activity of a normal heart and an inferior MI heart at three sites (basal, middle, and apical) with three MI sizes (small, moderate, and large), aiming to investigate the effect of inferior MI on the simulated electrocardiograms. Simulated body surface potential maps were compared with clinical body surface potential maps to verify the effciency of the model. A new measure, namely, the normalized variation coeffcient, was proposed for result evaluation. The results showed that the augmented unipolar left lower limb lead was the best choice for inferior MI diagnoses and it showed the most obvious electrocardiography signal differences between normal and inferior MI hearts. The simulation results corresponded well with commonly used clinical diagnostic criteria. Thus, the proposed refined MI torso-heart model provides a finite element simulation method for quantifying the effects of inferior MI on a torso-heart model-based electrocardiogram and has good potential for use in optimizing electrocardiogram detection.en_US
dc.language.isoen_USen_US
dc.subjectBiomedical engineeringen_US
dc.subjectbiomedical signal processingen_US
dc.subjectcomputational modelingen_US
dc.subjectcomputer simulationen_US
dc.subjectelectrocardiographyen_US
dc.subjectfinite element methodsen_US
dc.subjectsignal analysisen_US
dc.subjectsignal processingen_US
dc.titleEffects of Inferior Myocardial Infarction Sizes and Sites on Simulated Electrocardiograms Based on a Torso-Heart Modelen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/ACCESS.2019.2904707en_US
dc.identifier.journalIEEE ACCESSen_US
dc.citation.volume7en_US
dc.citation.spage35470en_US
dc.citation.epage35479en_US
dc.contributor.department影像與生醫光電研究所zh_TW
dc.contributor.departmentInstitute of Imaging and Biomedical Photonicsen_US
dc.identifier.wosnumberWOS:000463868400001en_US
dc.citation.woscount0en_US
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