University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Removal of ballistocardiogram artifacts from EEG/fMRI data using cyclostationary source extraction method

Ghaderi, F, McWhirter, J, Nazarpour, K and Sanei, S (2010) Removal of ballistocardiogram artifacts from EEG/fMRI data using cyclostationary source extraction method IEEE Trans. on Biomedical Engineering, 57 (11). pp. 2667-2676.

[img] PDF
Removal of Ballistocardiogram Artifacts.pdf
Restricted to Repository staff only
Available under License : See the attached licence file.

Download (654kB)
[img] PDF (licence)
SRI_deposit_agreement.pdf
Restricted to Repository staff only

Download (33kB)

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.

Item Type: Article
Authors :
AuthorsEmailORCID
Ghaderi, FUNSPECIFIEDUNSPECIFIED
McWhirter, JUNSPECIFIEDUNSPECIFIED
Nazarpour, KUNSPECIFIEDUNSPECIFIED
Sanei, SUNSPECIFIEDUNSPECIFIED
Date : 2010
Identification Number : https://doi.org/10.1109/TBME.2010.2060334
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 14:14
Last Modified : 28 Mar 2017 14:14
URI: http://epubs.surrey.ac.uk/id/eprint/743008

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year


Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800