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Publication Details
AFRICAN RESEARCH NEXUS
SHINING A SPOTLIGHT ON AFRICAN RESEARCH
A comparison of methods for separation of transient and oscillatory signals in EEG
Journal of Neuroscience Methods, Volume 199, No. 2, Year 2011
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Description
Brain oscillations constitute a prominent feature of electroencephalography (EEG), in both physiological and pathological states. An efficient separation of oscillation from transient signals in EEG is important not only for detection of oscillations, but also for advanced signal processing such as source localization. A major difficulty lies in the fact that filtering transient phenomena can lead to spurious oscillatory activity. Therefore, in the presence of a mixture of transient and oscillatory events, it is not clear to which extent filtering methods are able to separate them efficiently.The objective of this study was to evaluate methods for separating oscillations from transients. We compared three methods: finite impulse response (FIR) filtering, wavelet analysis with stationary wavelet transform (SWT), time-frequency sparse decomposition with Matching Pursuit (MP). We evaluated the quality of reconstruction and the results of automatic detection of oscillations intermingled with transients. The emphasis of our study was on epileptic signals and single channel processing.In both simulations and on real data, FIR performed generally worse than the time-frequency methods. Both SWT and MP showed good results in separation and detection, each method having its advantages and its limitations. The SWT had good results in separation and detection of transients due to the time invariance property, but still did not completely resolve the frequency overlap for the oscillation during the time-frequency thresholding. The MP provides a sparse representation, and gave good results for simulated data. However, in the real data, we observed distortions introduced by the subtractive approach, and departure from dictionary waveforms. Future directions are proposed for overcoming these limitations. © 2011 Elsevier B.V.
Authors & Co-Authors
Jmail, Nawel
France, Paris
Inserm
France, Marseille
Aix Marseille Université
Tunisia, Sfax
Ecole Nationale D'ingénieurs de Sfax
Gavaret, Martine
France, Paris
Inserm
France, Marseille
Aix Marseille Université
Wendling, Fabrice
France, Paris
Inserm
France, Rennes
Laboratoire Traitement du Signal et de L'image
Kachouri, Abdennaceur
Tunisia, Sfax
Ecole Nationale D'ingénieurs de Sfax
Ghariani, Hamadi
Tunisia, Sfax
Ecole Nationale D'ingénieurs de Sfax
Badier, Jean Michel
France, Paris
Inserm
France, Marseille
Aix Marseille Université
Bénar, Christian G.
France, Paris
Inserm
France, Marseille
Aix Marseille Université
Statistics
Citations: 46
Authors: 7
Affiliations: 4
Identifiers
Doi:
10.1016/j.jneumeth.2011.04.028
e-ISSN:
1872678X
Study Design
Case-Control Study