OBJECTIVES: The aim of the work was to compare two different approaches - one model-dependent, the other data-dependent - for deblurring EEG data, in order to improve the estimation of Event-Related Desynchronization/Synchronization. METHODS: Realistic Surface Laplacian filtering (SL) and Infomax Independent Component Analysis (ICA) were applied on multivariate scalp EEG signals (SL: 128 electrodes with MRI-based realistic modeling; ICA: a subset of 19 electrodes, no MRI) prior to beta Event Related Synchronization (ERS) estimation after finger movement in 8 normal subjects...
Keywords: ERD, ERS, Laplacian, ICA, deblurring
01/2004 | Methods of Information in Medicine, Schattauer