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dc.contributor.authorErdogan, Burak
dc.contributor.authorOgul, Hasan
dc.date.accessioned2020-09-24T11:18:55Z
dc.date.available2020-09-24T11:18:55Z
dc.date.created2020-05-25T22:39:01Z
dc.date.issued2020
dc.identifier.citationProcedia Computer Science. 2020, 170, 947-952.en_US
dc.identifier.issn1877-0509
dc.identifier.urihttps://hdl.handle.net/11250/2679460
dc.description.abstractPain is considered as an emotional experience and unrestful feeling associated with tissue damage. The feeling of pain occurs when the interpretation starts in brain; as a signal is sent through nerve fiber to the brain. Pain allows the body to prevent further tissue damage. Since there are different ways of expressing and feeling pain, the experience of pain is unique for everybody. In this respect, objective pain assessment is a key step and a major challenge in proper management of pain in different individuals. In this study, we offer a computational solution for objective assessment of pain using vital signs. To this end, we have reported the prediction for existence of pain by calculating the performances of several computational methods that take the sequence of vital signs acquired until pain observation as input. We claim that the use of computational intelligence methods can encourage computer-aided monitoring of pain in a hospitalized environment to a certain degree.en_US
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectprognosisen_US
dc.subjecttime-series classificationen_US
dc.subjectvital signsen_US
dc.titleObjective Pain Assessment Using Vital Signsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.subject.nsiVDP::Teknologi: 500::Informasjons- og kommunikasjonsteknologi: 550::Datateknologi: 551en_US
dc.source.pagenumber947-952en_US
dc.source.volume170en_US
dc.source.journalProcedia Computer Scienceen_US
dc.identifier.doi10.1016/j.procs.2020.03.103
dc.identifier.cristin1812549
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
Med mindre annet er angitt, så er denne innførselen lisensiert som Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal