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dc.contributor.authorHarbo, Erlend
dc.contributor.authorFuglerud, Silje Skeide
dc.contributor.authorSkjaervold, Nils Kristian
dc.date.accessioned2020-08-19T07:20:28Z
dc.date.available2020-08-19T07:20:28Z
dc.date.created2020-06-09T14:34:36Z
dc.date.issued2020
dc.identifier.citationCritical Care. 2020, 24 (1), 283-283.en_US
dc.identifier.issn1364-8535
dc.identifier.urihttps://hdl.handle.net/11250/2672897
dc.description.abstractThe prognostication of neurological outcome in sedated ICU patients is challenging. Multiple clinical scoring schemes and examinations are used, where different motoric responses are important input variables. Accelerometery is a well-known technology widely applied in different fields of research and everyday electronic products. In medical research, accelerometers have been used in longitudinal epidemiological studies of physical activity and health as well as in ICU studies on the topic of activity, sleep and agitation monitoring. Similarly, accelerometric information could be a candidate to improve future neurological prognostication schemes. To the best of our knowledge, including a systematic review from 2015 [1], there are no published articles on automatic motion registration from ICU patients in connection to neurologic outcome prognosticationen_US
dc.language.isoengen_US
dc.publisherBMCen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleVisualisation of Limb Movements by Accelerometers in Sedated Patientsen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber283-283en_US
dc.source.volume24en_US
dc.source.journalCritical Careen_US
dc.source.issue1en_US
dc.identifier.doi10.1186/s13054-020-02975-7
dc.identifier.cristin1814585
dc.description.localcode© The Author(s). 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.en_US
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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal