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Heartbeat classification for detecting arrhythmia using normalized beat morphology features

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dc.contributor.authorPark, Juyoung-
dc.contributor.authorKang, Mingon-
dc.contributor.authorKim, Younghoon-
dc.contributor.authorKang, Kyungtae-
dc.date.accessioned2021-06-22T21:43:53Z-
dc.date.available2021-06-22T21:43:53Z-
dc.date.issued2015-11-
dc.identifier.urihttps://scholarworks.bwise.kr/erica/handle/2021.sw.erica/20634-
dc.description.abstractWe propose a method of arrhythmia detection based on beat morphology, which offers a new set of features for heartbeat classification. This can be performed by nearest-neighbor search, which we applied to heartbeats from the MIT-BIH arrhythmia database. Our classifier achieved an overall accuracy of 98.18% on 103,923 heartbeats. © 2015 IEEE.-
dc.format.extent2-
dc.language영어-
dc.language.isoENG-
dc.publisherInstitute of Electrical and Electronics Engineers Inc.-
dc.titleHeartbeat classification for detecting arrhythmia using normalized beat morphology features-
dc.typeArticle-
dc.publisher.location미국-
dc.identifier.doi10.1109/BIBM.2015.7359947-
dc.identifier.scopusid2-s2.0-84962467484-
dc.identifier.wosid000377335600306-
dc.identifier.bibliographicCitationProceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015, pp 1743 - 1744-
dc.citation.titleProceedings - 2015 IEEE International Conference on Bioinformatics and Biomedicine, BIBM 2015-
dc.citation.startPage1743-
dc.citation.endPage1744-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassother-
dc.relation.journalResearchAreaComputer Science-
dc.relation.journalResearchAreaMathematical & Computational Biology-
dc.relation.journalWebOfScienceCategoryComputer Science, Interdisciplinary Applications-
dc.relation.journalWebOfScienceCategoryMathematical & Computational Biology-
dc.subject.keywordPlusBioinformatics-
dc.subject.keywordPlusDiseases-
dc.subject.keywordPlusElectrocardiography-
dc.subject.keywordPlusMorphology-
dc.subject.keywordPlusNearest neighbor search-
dc.subject.keywordPlusArrhythmia detection-
dc.subject.keywordPlusHeartbeat classifications-
dc.subject.keywordPlusOverall accuracies-
dc.subject.keywordPlusFeature extraction-
dc.subject.keywordAuthorbeat morphology-
dc.subject.keywordAuthorECG-
dc.subject.keywordAuthorheartbeat classification-
dc.identifier.urlhttps://ieeexplore.ieee.org/document/7359947-
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ERICA 소프트웨어융합대학 (DEPARTMENT OF ARTIFICIAL INTELLIGENCE)
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