Extraction and separation of high-amplitude artifacts in electroencephalograms from epileptic patients

Authors:
A. R. Teixeira;A. M. Tomé;E. W. Lang;P. Gruber;A. Martins da Silva
Affiliations:
DETUA/IEETA, University of Aveiro, Aveiro, Portugal;DETUA/IEETA, University of Aveiro, Aveiro, Portugal;Institute of Biophysics, University of Regensburg, Regensburg, Germany;Institute of Biophysics, University of Regensburg, Regensburg, Germany;HGSA and ICBAS/IBMC, University of Porto, Porto, Portugal
Venue:
BioMed'06 Proceedings of the 24th IASTED international conference on Biomedical engineering
Year:
2006

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Abstract

Electroencephalogram (EEG) recordings are often distorted by high-amplitude artifacts which hamper its correct visual inspection. In this work we present a method which can be applied separately to each channel to extract high-amplitude components. The method is called local singular spectrum analysis (SSA) and is a principal component analysis in clusters formed after embedding the signals in their time-delayed coordinates. The extracted signal can be subtracted from the original channel resulting in a corrected EEG version. The algorithm is applied to real EEG segments containing paroxysmal epileptiform activity contaminated by artifactual activity. The extracted artifact as well as the corrected EEG will be presented.