System level framework for assessing the accuracy of neonatal EEG acquisition

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dc.contributor.authorO'Sullivan, Mark
dc.contributor.authorPopovici, Emanuel M.
dc.contributor.authorBocchino, Andrea
dc.contributor.authorO'Mahony, Conor
dc.contributor.authorBoylan, Geraldine B.
dc.contributor.authorTemko, Andriy
dc.contributor.funderWellcome Trusten
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderHealth Research Boarden
dc.contributor.funderÖsterreichische Forschungsförderungsgesellschaften
dc.date.accessioned2021-08-26T08:17:35Z
dc.date.available2021-08-26T08:17:35Z
dc.date.issued2018-10-29
dc.date.updated2021-08-26T08:00:37Z
dc.description.abstractSignificant research has been conducted in recent years to design low-cost alternatives to the current EEG monitoring systems used in healthcare facilities. Testing such systems on a vulnerable population such as newborns is complicated due to ethical and regulatory considerations that slow down the technical development. This paper presents and validates a method for quantifying the accuracy of neonatal EEG acquisition systems and electrode technologies via clinical data simulations that do not require neonatal participants. The proposed method uses an extensive neonatal EEG database to simulate analogue signals, which are subsequently passed through electrical models of the skin-electrode interface, which are developed using wet and dry EEG electrode designs. The signal losses in the system are quantified at each stage of the acquisition process for electrode and acquisition board losses. SNR, correlation and noise values were calculated. The results verify that low-cost EEG acquisition systems are capable of obtaining clinical grade EEG. Although dry electrodes result in a significant increase in the skin-electrode impedance, accurate EEG recordings are still achievable.en
dc.description.sponsorshipWellcome Trust (Seed Award 200704/04/Z/16/Z); Science Foundation Ireland (17/TIDA/504); Health Research Board (KEDS-2017-020); Österreichische Forschungsförderungsgesellschaft (853482)en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationO'Sullivan, M., Popovici, E., Bocchino, A., O'Mahony, C., Boylan, G. and Temko, A. (2018) 'System level framework for assessing the accuracy of neonatal EEG acquisition', 2018 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Honolulu, HI, USA, 18-21 July, pp. 4339-4342. doi: 10.1109/EMBC.2018.8513246en
dc.identifier.doi10.1109/EMBC.2018.8513246en
dc.identifier.eissn1558-4615
dc.identifier.endpage4342en
dc.identifier.isbn978-1-5386-3647-3
dc.identifier.isbn978-1-5386-3645-9
dc.identifier.isbn978-1-5386-3646-6
dc.identifier.issn1557-170X
dc.identifier.startpage4339en
dc.identifier.urihttps://hdl.handle.net/10468/11787
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
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://embc.embs.org/2018/
dc.rights© 2018, IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.en
dc.subjectElectrodesen
dc.subjectElectroencephalographyen
dc.subjectBrain modelingen
dc.subjectPediatricsen
dc.subjectImpedanceen
dc.subjectSkinen
dc.subjectMonitoringen
dc.titleSystem level framework for assessing the accuracy of neonatal EEG acquisitionen
dc.typeConference itemen
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