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Unsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forests

dc.contributor.authorAnastasiadou, M.en
dc.contributor.authorChristodoulakis, M.en
dc.contributor.authorPapathanasiou, E. S.en
dc.contributor.authorPapacostas, S. S.en
dc.contributor.authorMitsis, Georgios D.en
dc.creatorAnastasiadou, M.en
dc.creatorChristodoulakis, M.en
dc.creatorPapathanasiou, E. S.en
dc.creatorPapacostas, S. S.en
dc.creatorMitsis, Georgios D.en
dc.date.accessioned2019-04-08T07:44:37Z
dc.date.available2019-04-08T07:44:37Z
dc.date.issued2017
dc.identifier.urihttp://gnosis.library.ucy.ac.cy/handle/7/42740
dc.sourceClinical Neurophysiologyen
dc.source.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85026502001&doi=10.1016%2fj.clinph.2017.06.247&partnerID=40&md5=b654ff4f68f729cef26b6c375a449956
dc.titleUnsupervised detection and removal of muscle artifacts from scalp EEG recordings using canonical correlation analysis, wavelets and random forestsen
dc.typeinfo:eu-repo/semantics/article
dc.identifier.doi10.1016/j.clinph.2017.06.247
dc.description.volume128
dc.description.issue9
dc.description.startingpage1755
dc.description.endingpage1769
dc.author.facultyΠολυτεχνική Σχολή / Faculty of Engineering
dc.author.departmentΤμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών / Department of Electrical and Computer Engineering
dc.type.uhtypeArticleen
dc.source.abbreviationClin.Neurophysiol.en
dc.contributor.orcidMitsis, Georgios D. [0000-0001-9975-5128]
dc.gnosis.orcid0000-0001-9975-5128


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