Abstract #2842
An improved ICA filter for motion and ballistocardiogram artefacts in EEG recorded in the MR scanner
J. Masterton R, Abbott D, Fleming S, Jackson G
Brain Research Institute, University of Melbourne
EEG recordings in the MR scanner are subject to ballistocardiogram (BCG) and motion artefacts. Independent components analysis (ICA) has been used to filter the BCG artefact using a combination of correlation with the ECG and visual inspection to identify and remove artefact-related components. Here we present an improvement to this method using an independently acquired measure of subject motion to automatically select components for removal. Our method removes the need for visual selection of components and also generalises this method to filter all motion artefacts rather than only BCG artefacts. We demonstrate this method using simulated and real EEG.
