Validation of an automated seizure detection algorithm for term neonates

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dc.contributor.author Mathieson, Sean R.
dc.contributor.author Stevenson, Nathan J.
dc.contributor.author Low, Evonne
dc.contributor.author Marnane, William P.
dc.contributor.author Rennie, Janet M.
dc.contributor.author Temko, Andrey
dc.contributor.author Lightbody, Gordon
dc.contributor.author Boylan, Geraldine B.
dc.date.accessioned 2019-10-26T07:23:29Z
dc.date.available 2019-10-26T07:23:29Z
dc.date.issued 2015-05-09
dc.identifier.citation Mathieson, S. R., Stevenson, N. J., Low, E., Marnane, W. P., Rennie, J. M., Temko, A., Lightbody, G. and Boylan, G. B. (2016), 'Validation of an automated seizure detection algorithm for term neonates', Clinical Neurophysiology, 127(1), pp. 156-168. DOI: 10.1016/j.clinph.2015.04.075 en
dc.identifier.volume 127 en
dc.identifier.issued 1 en
dc.identifier.startpage 156 en
dc.identifier.endpage 168 en
dc.identifier.issn 1388-2457
dc.identifier.uri http://hdl.handle.net/10468/8884
dc.identifier.doi 10.1016/j.clinph.2015.04.075 en
dc.description.abstract Objective: The objective of this study was to validate the performance of a seizure detection algorithm (SDA) developed by our group, on previously unseen, prolonged, unedited EEG recordings from 70 babies from 2 centres. Methods: EEGs of 70 babies (35 seizure, 35 non-seizure) were annotated for seizures by experts as the gold standard. The SDA was tested on the EEGs at a range of sensitivity settings. Annotations from the expert and SDA were compared using event and epoch based metrics. The effect of seizure duration on SDA performance was also analysed. Results: Between sensitivity settings of 0.5 and 0.3, the algorithm achieved seizure detection rates of 52.6–75.0%, with false detection (FD) rates of 0.04–0.36 FD/h for event based analysis, which was deemed to be acceptable in a clinical environment. Time based comparison of expert and SDA annotations using Cohen’s Kappa Index revealed a best performing SDA threshold of 0.4 (Kappa 0.630). The SDA showed improved detection performance with longer seizures. Conclusion: The SDA achieved promising performance and warrants further testing in a live clinical evaluation. Significance: The SDA has the potential to improve seizure detection and provide a robust tool for comparing treatment regimens. en
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Elsevier en
dc.rights ©2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. This is anopen access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/) en
dc.rights.uri http://creativecommons.org/licenses/by/4.0/ en
dc.subject Neonatal seizures en
dc.subject Automated seizure detection en
dc.subject Neonatal EEG en
dc.subject Hypoxic-ischaemic encephalopathy en
dc.subject Neonatal neurology en
dc.title Validation of an automated seizure detection algorithm for term neonates en
dc.type Article (peer-reviewed) en
dc.internal.authorcontactother Geraldine Boylan, Neonatal Brain Research Group, Irish Centre for Fetal and Neonatal Translational Researhc, Department of Paediatrics and Child Health, University College Cork, Cork, Ireland. +353-21-490-3000 Email:g.boylan@ucc.ie en
dc.internal.availability Full text available en
dc.description.version Published Version en
dc.contributor.funder Wellcome Trust en
dc.contributor.funder Science Foundation Ireland en
dc.description.status Peer reviewed en
dc.identifier.journaltitle Clinical Neurophysiology en
dc.internal.IRISemailaddress g.boylan@ucc.ie en
dc.relation.project info:eu-repo/grantAgreement/WT/Innovations/098983//Multicentre Clinical evaluation of a neonatal seizure detection algorithm./ en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Principal Investigator Programme (PI)/10/IN.1/B3036/IE/Pattern RecognitIon Systems for continuous neurological Monitoring in NEOnates [NEOPRISM]./ en
dc.relation.project info:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2272/IE/Irish Centre for Fetal and Neonatal Translational Research (INFANT)/ en
dc.identifier.eissn 1872-8952


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©2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. This is anopen access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/) Except where otherwise noted, this item's license is described as ©2015 International Federation of Clinical Neurophysiology. Published by Elsevier Ireland Ltd. This is anopen access article under the CC BY license. (http://creativecommons.org/licenses/by/4.0/)
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