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A Lightweight Interface for HL7 Messaging of Continuous Biometric Data

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dc.contributor.authorPark, Juyoung-
dc.contributor.authorLee, Kuyeon-
dc.contributor.authorKang, Kyungtae-
dc.date.accessioned2021-06-22T18:42:42Z-
dc.date.available2021-06-22T18:42:42Z-
dc.date.issued2015-12-
dc.identifier.issn2156-7018-
dc.identifier.issn2156-7026-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/16498-
dc.description.abstractThe Health Level-7 (HL7) is a set of recommended international standards for the transfer of clinical information relating to patient health and biometrics. However, the use of HL7 messages to transfer continuous biometric signal data is inefficient because of duplication, which leads to increased message lengths and longer creation times. In this paper, we propose a lightweight interface that converts continuous data to the HL7 message format to maintain interoperability, while eliminating redundant data by means of a de-duplication algorithm as well as normalizing data into a standard format through feature scaling. Our interface reduces the time required to create messages by 51%, and reduces the required space to store them.-
dc.format.extent4-
dc.language영어-
dc.language.isoENG-
dc.publisherAmerican Scientific Publishers-
dc.titleA Lightweight Interface for HL7 Messaging of Continuous Biometric Data-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1166/jmihi.2015.1664-
dc.identifier.scopusid2-s2.0-84955282679-
dc.identifier.wosid000368564700051-
dc.identifier.bibliographicCitationJournal of Medical Imaging and Health Informatics, v.5, no.8, pp 1886 - 1889-
dc.citation.titleJournal of Medical Imaging and Health Informatics-
dc.citation.volume5-
dc.citation.number8-
dc.citation.startPage1886-
dc.citation.endPage1889-
dc.type.docTypeArticle-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalResearchAreaRadiology, Nuclear Medicine & Medical Imaging-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryRadiology, Nuclear Medicine & Medical Imaging-
dc.subject.keywordPlusINFORMATION-
dc.subject.keywordPlusINTEROPERABILITY-
dc.subject.keywordAuthorHealth Level-7-
dc.subject.keywordAuthorContinuous Biometric Data-
dc.subject.keywordAuthorClinical Information-
dc.subject.keywordAuthorElectrocardiography-
dc.identifier.urlhttps://www.ingentaconnect.com/content/asp/jmihi/2015/00000005/00000008/art00051;jsessionid=1nhm4ll2lkyjt.x-ic-live-01-
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Kang, Kyung tae
ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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