DATA-PROCESSING METHOD ENABLING THE FILTERING OF ARTEFACTS, IN PARTICULAR FOR ELECTROENCEPHALOGRAPHY

摘要

The present invention relates to a method for processing at least one multichannel signal (X) broken down, over a plurality of time-frequency windows (Pi j), into a plurality of multichannel signals (Xpji), said multichannel signal (X) resulting from a linear combination of at least one main signal (sp) obtained by measuring data from a main data source (S) and at least one secondary signal (ss) obtained by measuring data from a secondary data source (B) corresponding to at least one artefact, said method comprising at least one learning step (SO) including a comparative multi-component analysis (AMC) mainly comprising the comparison of an index of said signal (X), preferably representing the power thereof, over two separate time-frequency windows (Pi 1 and Pi 2), so as to separate the components (w) of the main signal (sp) from the components of at least one portion of the secondary signal (ss).