Removal of ballistocardiogram artifacts using the cyclostationary source extraction method

IEEE Transactions on Bio-medical Engineering
Foad GhaderiSanei Sanei

Abstract

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. 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.

References

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Citations

Mar 24, 2016·Computer Methods and Programs in Biomedicine·Xia WuXiaotong Wen
Feb 6, 2013·IEEE Transactions on Bio-medical Engineering·Saideh FerdowsiOwen O'Daly
Jun 25, 2014·Journal of Neuroscience Methods·Qingfei LuoGary H Glover
Jul 9, 2014·Frontiers in Neuroscience·Hongjing XiaMark S Cohen
Mar 30, 2021·Frontiers in Neurology·Madeleine BullockDavid F Abbott

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