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IDA
2009
Springer

Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings

14 years 2 months ago
Iterative Subspace Decomposition for Ocular Artifact Removal from EEG Recordings
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.
Cédric Gouy-Pailler, Reza Sameni, Marco Con
Added 26 May 2010
Updated 26 May 2010
Type Conference
Year 2009
Where IDA
Authors Cédric Gouy-Pailler, Reza Sameni, Marco Congedo, Christian Jutten
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