Instantaneous frequency based newborn EEG seizure characterisation

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dc.contributor.authorMesbah, Mostefa
dc.contributor.authorO'Toole, John M.
dc.contributor.authorColditz, Paul B.
dc.contributor.authorBoashash, Boualem
dc.date.accessioned2026-06-17T09:04:43Z
dc.date.available2026-06-17T09:04:43Z
dc.date.issued2012-07-13
dc.date.updated2026-06-17T09:04:43Z
dc.description.abstractThe electroencephalogram (EEG), used to noninvasively monitor brain activity, remains the most reliable tool in the diagnosis of neonatal seizures. Due to their nonstationary and multi-component nature, newborn EEG seizures are better represented in the joint time-frequency domain than in either the time domain or the frequency domain. Characterising newborn EEG seizure nonstationarities helps to better understand their time-varying nature and, therefore, allow developing efficient signal processing methods for both modelling and seizure detection and classification. In this article, we used the instantaneous frequency (IF) extracted from a time-frequency distribution to characterise newborn EEG seizures. We fitted four frequency modulated (FM) models to the extracted IFs, namely a linear FM, a piecewise-linear FM, a sinusoidal FM, and a hyperbolic FM. Using a database of 30-s EEG seizure epochs acquired from 35 newborns, we were able to show that, depending on EEG channel, the sinusoidal and piecewise-linear FM models best fitted 80-98% of seizure epochs. To further characterise the EEG seizures, we calculated the mean frequency and frequency span of the extracted IFs. We showed that in the majority of the cases (>95%), the mean frequency resides in the 0.6-3 Hz band with a frequency span of 0.2-1 Hz. In terms of the frequency of occurrence of the four seizure models, the statistical analysis showed that there is no significant difference(p = 0.332) between the two hemispheres. The results also indicate that there is no significant differences between the two hemispheres in terms of the mean frequency (p = 0.186) and the frequency span (p = 0.302).en
dc.description.sponsorshipThe authors acknowledge funding from the Qatar National Research Fund, Grant number NPRP 09-465-2-174 (after December 2010), and the Australian Research Council, Grant Number DP0665697 (prior to December 2010). In addition, one of the authors, Dr Mostefa Mesbah, wishes to acknowledge receiving a small preparation funding grant from UQ Firstlink Fund 2010en
dc.identifier.citationMesbah, M., O’Toole, J. M., Colditz, P. B., & Boashash, B. (2012). Instantaneous frequency based newborn EEG seizure characterisation. Eurasip Journal on Advances in Signal Processing, 2012(1). https://doi.org/10.1186/1687-6180-2012-143
dc.identifier.doi10.1186/1687-6180-2012-143
dc.identifier.eissn1687-6180
dc.identifier.issn1687-6172
dc.identifier.urihttps://hdl.handle.net/20.500.14454/6231
dc.language.isoeng
dc.publisherSpringer
dc.rights© 2012 Mesbah et al.; licensee Springer
dc.titleInstantaneous frequency based newborn EEG seizure characterisationen
dc.typejournal article
dcterms.accessRightsopen access
oaire.citation.issue1
oaire.citation.titleEurasip Journal on Advances in Signal Processing
oaire.citation.volume2012
oaire.licenseConditionhttps://creativecommons.org/licenses/by/2.0/
oaire.versionVoR
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