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Cited 10 time in webofscience Cited 11 time in scopus
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Realistic Head Phantom for Evaluation of Brain Stroke Localization Methods Using 3D Printer

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dc.contributor.authorLee, Juneseok-
dc.contributor.authorBang, Jihoon-
dc.contributor.authorChoi, Jaehoon-
dc.date.accessioned2021-08-02T16:26:53Z-
dc.date.available2021-08-02T16:26:53Z-
dc.date.created2021-05-12-
dc.date.issued2016-10-
dc.identifier.issn2234-8409-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/22128-
dc.description.abstractIn this paper, a brain phantom for evaluating brain stroke localization is proposed. To evaluate brain stroke localization, a phantom imitating three-dimensional (3D) simulation environment is needed. Mold for the proposed phantom was printed by a 3D printer and the interior of the phantom consists of 5 different brain tissue materials. Each of the brain tissue materials has the conductivity and permittivity similar to those of the International Commission on Non-Ionizing Radiation Protection (ICNIRP) standards for a frequency band from 0.5 to 2 GHz.-
dc.language영어-
dc.language.isoen-
dc.publisherKOREAN INST ELECTROMAGNETIC ENGINEERING & SCIENCE-
dc.titleRealistic Head Phantom for Evaluation of Brain Stroke Localization Methods Using 3D Printer-
dc.typeArticle-
dc.contributor.affiliatedAuthorChoi, Jaehoon-
dc.identifier.doi10.5515/JKIEES.2016.16.4.254-
dc.identifier.scopusid2-s2.0-85000624520-
dc.identifier.bibliographicCitationJOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE, v.16, no.4, pp.254 - 258-
dc.relation.isPartOfJOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE-
dc.citation.titleJOURNAL OF ELECTROMAGNETIC ENGINEERING AND SCIENCE-
dc.citation.volume16-
dc.citation.number4-
dc.citation.startPage254-
dc.citation.endPage258-
dc.type.rimsART-
dc.type.docTypeArticle-
dc.identifier.kciidART002160063-
dc.description.journalClass1-
dc.description.isOpenAccessY-
dc.description.journalRegisteredClassscopus-
dc.description.journalRegisteredClasskci-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.subject.keywordAuthorBrain-
dc.subject.keywordAuthorPhantom-
dc.subject.keywordAuthorStroke Localization-
dc.subject.keywordAuthor3D Printer-
dc.identifier.urlhttp://koreascience.or.kr/article/JAKO201631642279824.page-
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서울 공과대학 > 서울 융합전자공학부 > 1. Journal Articles

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