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AuthorMesbah M.
AuthorO'Toole J.M.
AuthorColditz P.B.
AuthorBoashash B.
Available date2022-05-31T19:01:37Z
Publication Date2012
Publication NameEurasip Journal on Advances in Signal Processing
ResourceScopus
Identifierhttp://dx.doi.org/10.1186/1687-6180-2012-143
URIhttp://hdl.handle.net/10576/31923
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).
Languageen
SubjectElectro-encephalogram (EEG)
Frequency domains
Frequency modulated
Instantaneous frequency
Non-stationarities
Seizure detection
Time frequency domain
Time-frequency distributions
Frequency domain analysis
Piecewise linear techniques
Signal processing
Electroencephalography
TitleInstantaneous frequency based newborn EEG seizure characterisation
TypeArticle
Issue Number1
Volume Number2012
dc.accessType Abstract Only


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