作者
Boualem Boashash, Larbi Boubchir, Ghasem Azemi
发表日期
2012/12
期刊
EURASIP Journal on Advances in Signal Processing
卷号
2012
页码范围
1-21
出版商
Springer International Publishing
简介
This 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 …
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B Boashash, L Boubchir, G Azemi - EURASIP Journal on Advances in Signal Processing, 2012