Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Abstract
Due to the volume conduction multichannel electroencephalogram (EEG) recordings give a rather blurred image of brain activity. Therefore spatial filters are extremely useful in single-trial analysis in order to improve the signal-to-noise ratio. There are powerful methods from machine learning and signal processing that permit the optimization of spatio-temporal filters for each subject in a data dependent fashion beyond the fixed filters based...
Paper Details
Title
Optimizing Spatial filters for Robust EEG Single-Trial Analysis
Published Date
Jan 1, 2008
Volume
25
Issue
1
Pages
41 - 56
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