EEGfMRI: Dictionary learning for removal of ballistocardiogram artifact from EEG
A novel method based on dictionary learning is proposed for BCG removal from EEG data, simultaneously recorded with fMRI. Review of existing BCG removal techniques is presented. Original dictionary learning approach is explained. A new cost function, having the generic dictionary learning as its core, is proposed. The solution to the proposed cost function can model BCG artifact and then remove it from EEG recordings.
dictionary learning artifact removal ballistocardiogram (bcg) electroencephalography (eeg) sparse representation