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AuthorAzemi, Ghasem
AuthorBoubchir, Larbi
AuthorBoashash, B.
Available date2014-03-19T18:25:13Z
Publication Date2003
Publication NameEURASIP Journal on Advances in Signal Processing
CitationBoashash et al.: A methodology for time-frequency image processing applied to the classification of non-stationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals. EURASIP Journal on Advances in Signal Processing 2012 2012:117
URIhttp://hdl.handle.net/10576/10965
URIhttp://dx.doi.org/10.1186/1687-6180-2012-117
AbstractThis article presents a general methodology for processing non-stationary signals for the purpose of classification and localization. The methodology combines methods adapted from three complementary areas: time-frequency signal analysis, multichannel signal analysis and image processing. The latter three combine in a new methodology referred to as multichannel time-frequency image processing which is applied to the problem of classifying electroencephalogram (EEG) abnormalities in both adults and newborns. A combination of signal related features and image related features are used by merging key instantaneous frequency descriptors which characterize the signal non-stationarities. The results obtained show that, firstly, the features based on time-frequency image processing techniques such as image segmentation, improve the performance of EEG abnormalities detection in the classification systems based on multi-SVM and neural network classifiers. Secondly, these discriminating features are able to better detect the correlation between newborn EEG signals in a multichannel-based newborn EEG seizure detection for the purpose of localizing EEG abnormalities on the scalp.
Languageen
PublisherSpringer
Subjecttime-frequency signal analysis
Subjectmultichannel signal analysis
Subjectinstantaneous frequency
Subjecttime-frequency image processing
Subjectimage segmentation
Subjecttime-frequency feature extraction
Subjectseizure detection
SubjectEEG classification localization
Subjectnewborn EEG
TitleA methodology for time-frequency image processing applied to the classification of nonstationary multichannel signals using instantaneous frequency descriptors with application to newborn EEG signals
TypeArticle


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