Novel artefact removal algorithms for co-registered EEG/fMRI based on selective averaging and subtraction

► With gradient artefact clustering templates are created to correct EEG/fMRI. ► With gradient artefact clustering clean EEG can be obtained at low sampling frequency. ► BCG artefacts overlap in time 20 to 30 % of the cases. ► Overlapping BCG artefacts are effectively removed from the data.