ADJUST

ADJUST is an algorithm for removing artefacts coming caused by electrooculography (EOG) from EEG data. It consists of a decomposition into independent components (ICs). Classes of the artefacts are called blinks, vertical and horizontal eye movement, discontinuity and neural activity and corresponding ICs can be seen in the figure below. First three are part of ocular artefacts and relate to eye movement, while discontinuity is a generic artefact. Spatial and temporal features are used to detect artefact ICs. Different detectors are set on the spatial and temporal features to determine artefacts and non-artefacts.
The features are defined a priori and the whole process is done automatically.^[1]

Figure 1: Features of each artefact IC

References