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dc.contributor.authorRad, Ali Bahrami
dc.contributor.authorEftestøl, Trygve Christian
dc.contributor.authorIrusta, Unai
dc.contributor.authorKvaløy, Jan Terje
dc.contributor.authorWik, Lars
dc.contributor.authorKramer-Johansen, Jo
dc.contributor.authorKatsaggelos, Aggelos K.
dc.contributor.authorEngan, Kjersti
dc.date.accessioned2019-02-26T09:41:50Z
dc.date.available2019-02-26T09:41:50Z
dc.date.created2017-12-21T17:57:27Z
dc.date.issued2018
dc.identifier.citationRad, A.B., Eftestøl, T., Irusta, U. et al. (2018) An automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodes. Resuscitation. 122, pp. 6-12.nb_NO
dc.identifier.issn0300-9572
dc.identifier.urihttp://hdl.handle.net/11250/2587391
dc.description.abstractAIM: An automatic resuscitation rhythm annotator (ARA) would facilitate and enhance retrospective analysis of resuscitation data, contributing to a better understanding of the interplay between therapy and patient response. The objective of this study was to define, implement, and demonstrate an ARA architecture for complete resuscitation episodes, including chest compression pauses (CC-pauses) and chest compression intervals (CC-intervals). METHODS: We analyzed 126.5h of ECG and accelerometer-based chest-compression depth data from 281 out-of-hospital cardiac arrest (OHCA) patients. Data were annotated by expert reviewers into asystole (AS), pulseless electrical activity (PEA), pulse-generating rhythm (PR), ventricular fibrillation (VF), and ventricular tachycardia (VT). Clinical pulse annotations were based on patient-charts and impedance measurements. An ARA was developed for CC-pauses, and was used in combination with a chest compression artefact removal filter during CC-intervals. The performance of the ARA was assessed in terms of the unweighted mean of sensitivities (UMS). RESULTS: The UMS of the ARA were 75.0% during CC-pauses and 52.5% during CC-intervals, 55-points and 32.5-points over a random guess (20% for five categories). Filtering increased the UMS during CC-intervals by 5.2-points. Sensitivities for AS, PEA, PR, VF, and VT were 66.8%, 55.8%, 86.5%, 82.1% and 83.8% during CC-pauses; and 51.1%, 34.1%, 58.7%, 86.4%, and 32.1% during CC-intervals. CONCLUSIONS: A general ARA architecture was defined and demonstrated on a comprehensive OHCA dataset. Results showed that semi-automatic resuscitation rhythm annotation, which may involve further revision/correction by clinicians for quality assurance, is feasible. The performance (UMS) dropped significantly during CC-intervals and sensitivity was lowest for PEA.nb_NO
dc.language.isoengnb_NO
dc.publisherElseviernb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.subjectresuscitationnb_NO
dc.subjectakuttmedisinnb_NO
dc.subjectcardiac arrestnb_NO
dc.subjecthjerteinfarktnb_NO
dc.subjectcardiopulmonary resuscitationnb_NO
dc.subjecthjerte- og lungeredningnb_NO
dc.subjecthjerte-lunge-redningnb_NO
dc.subjectcardiac rhythm classificationnb_NO
dc.titleAn automatic system for the comprehensive retrospective analysis of cardiac rhythms in resuscitation episodesnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.rights.holderCopyright © 2017 Elsevier B.V. All rights reserved.nb_NO
dc.subject.nsiVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750nb_NO
dc.subject.nsiVDP::Medisinske Fag: 700::Klinisk medisinske fag: 750::Kardiologi: 771nb_NO
dc.source.pagenumber6-12nb_NO
dc.source.volume122nb_NO
dc.source.journalResuscitationnb_NO
dc.identifier.doi10.1016/j.resuscitation.2017.11.035
dc.identifier.cristin1531221
dc.relation.projectUniversitetet i Stavanger: IN-10980nb_NO
cristin.unitcode217,8,4,0
cristin.unitcode217,8,2,0
cristin.unitnameInstitutt for data- og elektroteknologi
cristin.unitnameInstitutt for matematikk og fysikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpreprint
cristin.fulltextpostprint
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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