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dc.contributor.authorSon, Y
dc.contributor.authorLee, SB
dc.contributor.authorKim, H
dc.contributor.authorSong, ES
dc.contributor.authorHuh, H
dc.contributor.authorCzosnyka, M
dc.contributor.authorKim, DJ
dc.date.accessioned2018-12-14T00:32:02Z
dc.date.available2018-12-14T00:32:02Z
dc.date.issued2018
dc.identifier.issn0020-0255
dc.identifier.urihttps://www.repository.cam.ac.uk/handle/1810/286943
dc.publisherElsevier BV
dc.titleAutomated artifact elimination of physiological signals using a deep belief network: An application for continuously measured arterial blood pressure waveforms
dc.typeArticle
prism.endingPage158
prism.publicationDate2018
prism.publicationNameInformation Sciences
prism.startingPage145
prism.volume456
dc.identifier.doi10.17863/CAM.34252
rioxxterms.versionofrecord10.1016/j.ins.2018.05.018
rioxxterms.versionAM
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2018-08-01
dc.contributor.orcidKim, DJ [0000-0002-0988-2236]
dc.identifier.eissn1872-6291
rioxxterms.typeJournal Article/Review
rioxxterms.freetoread.startdate2019-08-01


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