Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings

Cedric Gouy-Pailler 1, * Reza Sameni 2 Marco Congedo 1 Christian Jutten 1
* Corresponding author
1 GIPSA-SIGMAPHY - SIGMAPHY
GIPSA-DIS - Département Images et Signal
Abstract : In this study, we present a method to remove ocular artifacts from electroencephalographic (EEG) recordings. This method is based on the detection of the EOG activation periods from a reference EOG channel, definition of covariance matrices containing the nonstationary information of the EOG, and applying generalized eigenvalue decomposition (GEVD) onto these matrices to rank the components in order of resemblance with the EOG. An iterative procedure is further proposed to remove the EOG components in a deflation fashion.
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Cedric Gouy-Pailler, Reza Sameni, Marco Congedo, Christian Jutten. Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings. 8th International Conference on Independent Component Analysis and Signal Separation (ICA 2009), Mar 2009, Paraty, Brazil. pp.419--426, ⟨10.1007/978-3-642-00599-2⟩. ⟨hal-00369922⟩

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