Removal of ballistocardiogram artifacts using the cyclostationary source extraction method

Foad Ghaderi, Kianoush Nazarpour, John G McWhirter, Saeid Sanei

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Ballistocardiogram (BCG) artifact is considered here as the sum of a number of independent cyclostationary components having the same cycle frequency. Our proposed method, called cyclostationary source extraction (CSE), is able to extract these components without much destructive effect on the background electroencephalogram (EEG). It is shown that the proposed method outperforms other methods particularly in preserving the remaining signals. The CSE is utilized to remove the BCG artifact from real EEG data recorded inside the magnetic resonance (MR) scanner, i.e., visual evoked potential (VEP). The results are compared to the results of benchmark BCG removal techniques. Analyzing the power spectral density of the cleaned EEG data, it is shown that CSE effectively removes the frequency components corresponding to the BCG artifact. It is also shown that VEPs recorded inside the scanner and processed using the proposed method are more correlated with the VEPs recorded outside the scanner. Moreover, there is no need for electrocardiogram (ECG) data in this method as the cycle frequency of the BCG is directly computed from the contaminated EEG signals.
Original languageEnglish
Pages (from-to)2667 - 2676
Number of pages10
Journal IEEE Transactions on Biomedical Engineering
Issue number11
Early online date23 Jul 2010
Publication statusPublished - 1 Nov 2010


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