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AuthorAwal, Md. Abdul
AuthorColditz, Paul B.
AuthorBoashash, Boualem
AuthorAzemi, Ghasem
Available date2016-04-18T08:13:19Z
Publication Date2014
Publication NameProceedings-2014, 8th International Conference on Signal Processing and Communication Systems, ICSPCS 2014
CitationM. A. Awal, P. B. Colditz, B. Boashash and G. Azemi, "Detection of neonatal EEG burst-suppression using a time-frequency approach," Signal Processing and Communication Systems (ICSPCS), 2014 8th International Conference on, Gold Coast, QLD, 2014, pp. 1-6.
ISBN978-147995255-7
URIhttp://dx.doi.org/10.1109/ICSPCS.2014.7021073
URIhttp://hdl.handle.net/10576/4409
AbstractIn newborn EEG, the presence of burst suppression carries with it a high probability of poor neurodevelopmental outcome. This paper presents a novel method to detect neonatal bust suppression from multichannel EEG using a time-frequency (T-F) based approach. In this approach, features are extracted from T-F representations of EEG signals obtained using quadratic time-frequency distributions (QTFDs). Such features take into account the non-stationarity of EEG signals and are shown to be able to discriminate between burst and suppression patterns. The features are based on the energy concentration of the signals in the T-F domain, instantaneous frequency of the signals, and Renyi entropy and singular-value decomposition (SVD) of the TFDs of EEG. For each feature, the receiver operating characteristic (ROC) is found and the area under the ROC curve (AUC) is calculated as the performance criterion. Experimental results using EEG signals with burst suppression acquired from 3 term neonates show that the features extracted from the singular values of TFDs and energy concentration outperform others. Amongst different QTFDs, features extracted from the optimized extended modified B distribution exhibit the best performance. Also, a classifier which uses these features achieves a total accuracy of 99.6%.
SponsorQatar National Research Fund under its National Priorities Research Program award number NPRP 6-885-2-364.
Languageen
PublisherIEEE
Subjectburst-suppression
SubjectNewborn EEG
Subjecttime-frequency analysis
Subjecttime-frequency features
TitleDetection of neonatal EEG burst-suppression using a time-frequency approach
TypeConference Paper


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