Real Time Ballistocardiogram Artifact Removal in EEG-fMRI Using Dilated Discrete Hermite Transform

TL;DRAbstract

Electroencephalogram (EEG) signals, when recorded within the strong magnetic field of an MR scanner, are subject to various artifacts, of which the ballistocardiogram (BCG) is one of the prominent artifacts affecting the quality of the EEG.The BCG is continuously varying with time and its spectrum overlaps with the EEG spectra, making its suppression a signal processing challenge.A novel method for the identification and removal of this artifact using shape basis functions of the new dilated discrete Hermite transform is investigated in this paper.The BCG artifacts are modeled for every heart beat, using these discrete Hermite basis functions, and are subsequently subtracted from the ongoing EEG.Experimental EEG data was recorded inside and outside a 3 Tesla MRI scanner, from a total of 7 subjects under various experimental conditions.Quantitative assessment of the efficiency of this algorithm was evaluated by adding known BCG templates, at varying Signal to Noise Ratios (SNRs), to the

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