During a Magnetic Resonance sequence, simultaneously acquired ElectroEnceph
aloGraphy (EEG) data are compromised by severe pollution due to artifacts o
riginating from the switching of the magnetic field gradients. In this work
, it is shown how these artifacts can be strongly reduced or even removed t
hrough application of an adaptive artifact restoration scheme. The method h
as proved to be fully automatic and to retain high frequency EEG informatio
n, which is indispensable for many EEG applications. (C) 1999 Elsevier Scie
nce Inc.