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dc.contributor.authorErdogan, Burak
dc.contributor.authorOgul, Hasan
dc.date.accessioned2020-12-31T12:51:25Z
dc.date.available2020-12-31T12:51:25Z
dc.date.issued2020
dc.identifier.issn1877-0509en_US
dc.identifier.urihttps://linkinghub.elsevier.com/retrieve/pii/S187705092030541X
dc.identifier.urihttp://hdl.handle.net/11727/5373
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. (C) 2020 The Authors. Published by Elsevier B.V.en_US
dc.language.isoengen_US
dc.relation.isversionof10.1016/j.procs.2020.03.103en_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectprognosisen_US
dc.subjecttime-series classificationen_US
dc.subjectvital signsen_US
dc.titleObjective Pain Assessment Using Vital Signsen_US
dc.typeProceedings Paperen_US
dc.relation.journal11TH INTERNATIONAL CONFERENCE ON AMBIENT SYSTEMS, NETWORKS AND TECHNOLOGIES (ANT) / THE 3RD INTERNATIONAL CONFERENCE ON EMERGING DATA AND INDUSTRY 4.0 (EDI40) / AFFILIATED WORKSHOPSen_US
dc.identifier.volume170en_US
dc.identifier.startpage947en_US
dc.identifier.endpage952en_US
dc.identifier.wos000582714500129en_US
dc.identifier.scopus2-s2.0-85085543501en_US


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