Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities

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Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities

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Title: Time-frequency signal and image processing of non-stationary signals with application to the classification of newborn EEG abnormalities
Author: Boashash, B; Boubchir, L; Azemi, G
Abstract: This paper presents an introduction to time-frequency (T-F) methods in signal processing, and a novel approach for EEG abnormalities detection and classification based on a combination of signal related features and image related features. These features which characterize the non-stationary nature and the multi-component characteristic of EEG signals, are extracted from the T-F representation of the signals. The signal related features are derived from the T-F representation of EEG signals and include the instantaneous frequency, singular value decomposition, and energy based features. The image related features are extracted from the T-F representation considered as an image, using T-F image processing techniques. These combined signal and image features allow to extract more information from a signal. The results obtained on newborn and adult EEG data, show that the image related features improve the performance of the EEG seizure detection in classification systems based on multi-SVM classifier.
Description: This paper demonstrates that it is possible to improve the classification of EEG non-stationary signals by using new T-F features based on image processing techniques. (Additional details can be found in the comprehensive book on Time-Frequency Signal Analysis and Processing (see http://www.elsevier.com/locate/isbn/0080443354). In addition, the most recent upgrade of the original software package that calculates Time-Frequency Distributions and Instantaneous Frequency estimators can be downloaded from the web site: www.time-frequency.net. This was the first software developed in the field, and it was first released publicly in 1987 at the 1st ISSPA conference held in Brisbane, Australia, and then continuously updated).
URI: http://hdl.handle.net/10576/10808
Date: 2011-12

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