Automated analysis of actimetry used for the detection of disease phenotypes in sleep medicine

DC ElementWertSprache
dc.contributor.authorLeenings, R.
dc.contributor.authorGlatz, C.
dc.contributor.authorBoentert, M.
dc.contributor.authorHeidbreder, A.
dc.contributor.authorPipa, G.
dc.contributor.authorYoung, P.
dc.date.accessioned2021-12-23T16:11:44Z-
dc.date.available2021-12-23T16:11:44Z-
dc.date.issued2016
dc.identifier.issn09621105
dc.identifier.urihttps://osnascholar.ub.uni-osnabrueck.de/handle/unios/9856-
dc.description23rd Congress of the European-Sleep-Research-Society, Bologna, ITALY, SEP 13-16, 2016
dc.language.isoen
dc.publisherWILEY-BLACKWELL
dc.relation.ispartofJOURNAL OF SLEEP RESEARCH
dc.subjectClinical Neurology
dc.subjectNeurosciences
dc.subjectNeurosciences & Neurology
dc.titleAutomated analysis of actimetry used for the detection of disease phenotypes in sleep medicine
dc.typemeeting abstract
dc.identifier.isiISI:000383445201414
dc.description.volume25
dc.description.issue1, SI
dc.description.startpage341
dc.identifier.eissn13652869
dc.publisher.place111 RIVER ST, HOBOKEN 07030-5774, NJ USA
dcterms.isPartOf.abbreviationJ. Sleep Res.
crisitem.author.deptInstitut für Kognitionswissenschaft-
crisitem.author.deptidinstitute28-
crisitem.author.orcid0000-0002-3416-2652-
crisitem.author.parentorgFB 08 - Humanwissenschaften-
crisitem.author.grandparentorgUniversität Osnabrück-
crisitem.author.netidPiGo340-
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