Title
Removal of Ballistocardiogram Artifacts Using the Cyclostationary Source Extraction Method
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. 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.
Year
DOI
Venue
2010
10.1109/TBME.2010.2060334
Biomedical Engineering, IEEE Transactions
Keywords
DocType
Volume
biomedical mri,electroencephalography,feature extraction,medical signal processing,signal denoising,visual evoked potentials,background electroencephalogram,ballistocardiogram artifacts,contaminated eeg signals,cycle frequency,cyclostationary source extraction method,destructive effect,independent cyclostationary components,magnetic resonance scanner,power spectral density,visual evoked potential,artifact removal,ballistocardiogram (bcg),cyclostationarity,cyclostationary blind source separation
Journal
57
Issue
ISSN
Citations 
11
0018-9294
6
PageRank 
References 
Authors
0.50
23
4
Name
Order
Citations
PageRank
Foad Ghaderi1567.64
Kianoush Nazarpour27519.08
John G. McWhirter321428.77
Sanei Sanei460.50