Quantitative preterm EEG analysis: The need for caution in using modern data science techniques

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dc.contributor.authorO'Toole, John M.
dc.contributor.authorBoylan, Geraldine B.
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2019-11-19T12:04:27Z
dc.date.available2019-11-19T12:04:27Z
dc.date.issued2019-05-03
dc.description.abstractHaemodynamic changes during neonatal transition increase the vulnerability of the preterm brain to injury. Real-time monitoring of brain function during this period would help identify the immediate impact of these changes on the brain. Neonatal EEG provides detailed real-time information about newborn brain function but can be difficult to interpret for non-experts; preterm neonatal EEG poses even greater challenges. An objective quantitative measure of preterm brain health would be invaluable during neonatal transition to help guide supportive care and ultimately protect the brain. Appropriate quantitative measures of preterm EEG must be calculated and care needs to be taken when applying the many techniques available for this task in the era of modern data science. This review provides valuable information about the factors that influence quantitative EEG analysis and describes the common pitfalls. Careful feature selection is required and attention must be paid to behavioural state given the variations encountered in newborn EEG during different states. Finally, the detrimental influence of artefacts on quantitative EEG analysis is illustrated.en
dc.description.sponsorship15/SIRG/3580en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid174en
dc.identifier.citationBoylan, G.B. and O'Toole, J.M., 2019. Quantitative preterm EEG analysis: the need for caution in using modern data science techniques. Frontiers in pediatrics, 7, (174). DOI:10.3389/fped.2019.00174en
dc.identifier.doi10.3389/fped.2019.00174en
dc.identifier.eissn2296-2360
dc.identifier.endpage11en
dc.identifier.journaltitleFrontiers in Pediatricsen
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/9075
dc.identifier.volume7en
dc.language.isoenen
dc.publisherFrontiers Mediaen
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Research Centres/12/RC/2272/IE/Irish Centre for Fetal and Neonatal Translational Research (INFANT)/en
dc.relation.urihttps://www.frontiersin.org/articles/10.3389/fped.2019.00174
dc.rights© 2019 O'Toole and Boylanen
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en
dc.subjectEEG analysisen
dc.subjectPretermen
dc.subjectNeonatalen
dc.subjectData science techniquesen
dc.titleQuantitative preterm EEG analysis: The need for caution in using modern data science techniquesen
dc.typeArticle (peer-reviewed)en
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