Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings

Cedric Gouy-Pailler (1) , Reza Sameni (2) , Marco Congedo (1) , Christian Jutten (1)

1 GIPSA-SIGMAPHY - GIPSA - Signal Images Physique
2 College of electrical and computer engineering

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.

Mots clés: brain-computer-interface; Electroencéphalography; independent component analysis

Domaines: Biotechnologies; Biotechnologie; Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Cedric Gouy-Pailler, Reza Sameni, Marco Congedo, Christian Jutten. Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings. ICA 2009 - 8th International Conference on Independent Component Analysis and Signal Separation, Mar 2009, Paraty, Brazil. pp.419--426, ⟨10.1007/978-3-642-00599-2⟩. ⟨hal-00369922⟩