Analysis of a low-cost EEG monitoring system and dry electrodes toward clinical use in the neonatal ICU

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dc.contributor.authorO'Sullivan, Mark
dc.contributor.authorTemko, Andriy
dc.contributor.authorBocchino, Andrea
dc.contributor.authorO'Mahony, Conor
dc.contributor.authorBoylan, Geraldine B.
dc.contributor.authorPopovici, Emanuel M.
dc.contributor.funderIrish Research Councilen
dc.contributor.funderScience Foundation Irelanden
dc.contributor.funderHealth Research Boarden
dc.contributor.funderWellcome Trusten
dc.date.accessioned2019-10-26T07:01:01Z
dc.date.available2019-10-26T07:01:01Z
dc.date.issued2019-06-11
dc.description.abstractElectroencephalography (EEG) is an important clinical tool for monitoring neurological health. However, the required equipment, expertise, and patient preparation inhibits its use outside of tertiary care. Non-experts struggle to obtain high-quality EEG due to its low amplitude and artefact susceptibility. Wet electrodes are currently used, which require abrasive/conductive gels to reduce skin-electrode impedance. Advances in dry electrodes, which do not require gels, have simplified this process. However, the assessment of dry electrodes on neonates is limited due to health and safety barriers. This study presents a simulation framework for assessing the quality of EEG systems using a neonatal EEG database, without the use of human participants. The framework is used to evaluate a low-cost EEG acquisition system and compare performance of wet and dry (Micro Transdermal Interface Platforms (MicroTIPs), g.tec-g.SAHARA) electrodes using accurately acquired impedance models. A separate experiment assessing the electrodes on adult participants was conducted to verify the simulation framework’s efficacy. Dry electrodes have higher impedance than wet electrodes, causing a reduction in signal quality. However, MicroTIPs perform comparably to wet electrodes at the frontal region and g.tec-g.SAHARA performs well at the occipital region. Using the simulation framework, a 25dB signal-to-noise ratio (SNR) was obtained for the low-cost EEG system. The tests on adults closely matched the simulated results.en
dc.description.sponsorshipIrish Research Council (GOIPG/2018/389); Health Research Board (KEDS-2017-020); Science Foundation Ireland (SFI/EI TIDA (17/TIDA/504)); Wellcome Trust Seed Award (200704/04/Z/16/Z)en
dc.description.statusPeer revieweden
dc.description.versionPublished Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.articleid2637en
dc.identifier.citationO’Sullivan, M., Temko, A., Bocchino, A., O’Mahony, C., Boylan, G. and Popovici, E. (2019) 'Analysis of a Low-Cost EEG Monitoring System and Dry Electrodes toward Clinical Use in the Neonatal ICU', Sensors, 19(11), 2637. (16pp.) DOI: 10.3390/s19112637en
dc.identifier.doi10.3390/s19112637en
dc.identifier.endpage16en
dc.identifier.issn1424-8220
dc.identifier.issued11en
dc.identifier.journaltitleSensors (Basel, Switzerland)en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/8877
dc.identifier.volume19en
dc.language.isoenen
dc.publisherMDPIen
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.mdpi.com/1424-8220/19/11/2637/htm
dc.rights©2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectNeonatal EEGen
dc.subjectEEG electrodeen
dc.subjectDry electrodeen
dc.subjectMicroTIPsen
dc.subjectMicroneedlesen
dc.subjectG.tecen
dc.titleAnalysis of a low-cost EEG monitoring system and dry electrodes toward clinical use in the neonatal ICUen
dc.typeArticle (peer-reviewed)en
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