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Communication Dans Un Congrès Année : 2007

EEG ocular artefacts and noise removal

Résumé

The general framework of our research is the pre-processing of the electroencephalographic (EEG) signals. The goal of this paper is to compare several combinations of wavelet denoising (WD) and independent components analyses (ICA) algorithms for noise and artefacts removal. These methods are tested on simulated EEG, using different evaluation criteria. According to our results, the most effective method consists in source separation by SOBI-RO, followed by wavelet denoising by SURE thresholding.
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Dates et versions

hal-00167543 , version 1 (21-08-2007)

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Rebeca Romo-Vázquez, Radu Ranta, Valérie Louis-Dorr, Didier Maquin. EEG ocular artefacts and noise removal. 29th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC'2007, Aug 2007, Lyon, France. pp.CDROM, ⟨10.1109/IEMBS.2007.4353577⟩. ⟨hal-00167543⟩
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