Monitoring of eye movement and its use for artifact elimination

摘要

Electrical activity of the human eye generates the electrooculogram (EOG) and contributes to the magneto-encephalographic (MEG) signal. The EOG and MEG signals around each eye are usually modeled by an equivalent current dipole (BCD), Direct information about the gaze position from the eye tracking system (ETS) can be used to simulate the MEG signal. Eye movement-related time courses can also be obtained from decompositions of the MEG signal, using either independent component analysis (ICA) or principal component analysis (PCA). We compared actual measurements with estimated values for eye movements, MEG signals and with ICA/PCA components. These comparisons are used to explore advantages and limitations of each method as it is used separately and in combinations.