Detection of neurovascular coupling in full-term neonates using wavelet coherence and phase-locking value

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dc.contributor.authorYu, Kaiyuen
dc.contributor.authorMathieson, Seanen
dc.contributor.authorFlynn, Andrewen
dc.contributor.authorDempsey, Eugeneen
dc.contributor.authorGarvey, Aislingen
dc.contributor.authorBoylan, Geraldineen
dc.contributor.authorMarnane, William P.en
dc.contributor.authorLightbody, Gordonen
dc.contributor.funderScience Foundation Irelanden
dc.date.accessioned2025-02-17T16:13:51Z
dc.date.available2025-02-17T16:13:51Z
dc.date.issued2024-12-17en
dc.description.abstractThis study proposes a new method to monitor neurovascular coupling and to help determine the level of brain injury in full-term neonates with Hypoxic Ischemic Encephalopathy (HIE). The wavelet coherence method is used to assess the coupling between the regional cerebral oxygen saturation (rSO2) as measured by NIRS and the lower envelope of EEG power in that region of the brain. This paper also provides methods for the visualization of the phase-locking value between these signals based on both the cross-wavelet and the Hilbert Transform methods. The preliminary results presented in this paper show that the lower envelope of EEG power is much better than the standard EEG power signal for the differentiation between Normal-Mild and Abnormal-Moderate HIE cases using wavelet coherence. On our limited dataset, a clear reduction in both the phase-locking value and the mean coherence was observed in the 0.25-1 mHz frequency range with the increase in severity of the brain injury, from mild to moderate HIE.en
dc.description.statusPeer revieweden
dc.description.versionAccepted Versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.citationYu, K., Mathieson, S., Flynn, A., Dempsey, E., Garvey, A., Boylan, G., Marnane, W. and Lightbody, G. (2024) 'Detection of neurovascular coupling in full-term neonates using wavelet coherence and phase-locking value', 2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 15-19 July, pp. 1-6. https://doi.org/10.1109/EMBC53108.2024.10782898en
dc.identifier.doihttps://doi.org/10.1109/EMBC53108.2024.10782898en
dc.identifier.endpage6en
dc.identifier.isbn979-8-3503-7149-9en
dc.identifier.isbn979-8-3503-7150-5en
dc.identifier.startpage1en
dc.identifier.urihttps://hdl.handle.net/10468/17053
dc.language.isoenen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.relation.ispartof2024 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Orlando, FL, USA, 15-19 July 2024.en
dc.relation.projectinfo:eu-repo/grantAgreement/SFI/SFI Frontiers for the Future::Award/19/FFP/6782/IE/Model based decision support for newborn brain protection/en
dc.rights© 2024, 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.subjectNeurovascular couplingen
dc.subjectWavelet coherenceen
dc.subjectPhase-locking valueen
dc.subjectFull-term neonatesen
dc.titleDetection of neurovascular coupling in full-term neonates using wavelet coherence and phase-locking valueen
dc.typeConference itemen
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