DocumentCode :
978137
Title :
Removal of ballistocardiogram artifacts from simultaneously recorded EEG and fMRI data using independent component analysis
Author :
Nakamura, Wakako ; Anami, Kimitaka ; Mori, Takeyuki ; Saitoh, Osamu ; Cichocki, Andrzej ; Amari, Shun-Ichi
Volume :
53
Issue :
7
fYear :
2006
fDate :
7/1/2006 12:00:00 AM
Firstpage :
1294
Lastpage :
1308
Abstract :
Simultaneous recording of electroencephalogram (EEG) and functional magnetic resonance imaging (fMRI) has been studied to identify areas related to EEG events. EEG data recorded in the magnetic resonance (MR) scanner with MR imaging is suffered from two specific artifacts, imaging artifact, and ballistocardiogram (BCG). In this paper, we focus on BCG. In preceding studies, average subtraction was often used for this purpose. However, average subtraction requires an assumption that BCG waveforms are precisely periodic, which seems unrealistic because BCG is a biomedical artifact. We propose the application of independent component analysis (ICA) with a postprocessing of high-pass filtering for the removal of BCG. With this approach, it is not necessary to assume that the BCG waveform is periodic. Empirically, we show that our proposed method removes BCG artifacts as well as does the average subtraction method. Power spectral density analysis of the two approaches shows that, with ICA, distortion of recovered EEG data is also as small as that associated with the average subtraction approach. We also propose a hypothesis for how head movement causes BCGs and show why ICA can remove BCG artifacts arising from this source.
Keywords :
biomedical MRI; electroencephalography; high-pass filters; independent component analysis; medical signal processing; spectral analysis; EEG; average subtraction method; ballistocardiogram artifact removal; electroencephalogram; fMRI; functional magnetic resonance imaging; head movement; high-pass filtering; imaging artifact; independent component analysis; power spectral density analysis; Biomedical imaging; Biomedical signal processing; Electroencephalography; Hospitals; Independent component analysis; Magnetic heads; Magnetic recording; Magnetic resonance imaging; Nervous system; Psychiatry; Biomedical signal processing; electroencephalography; functional magnetic resonance imaging; independent component analysis; Algorithms; Artifacts; Ballistocardiography; Brain Mapping; Data Interpretation, Statistical; Diagnosis, Computer-Assisted; Electroencephalography; Humans; Magnetic Resonance Imaging; Principal Component Analysis; Reproducibility of Results; Sensitivity and Specificity;
fLanguage :
English
Journal_Title :
Biomedical Engineering, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9294
Type :
jour
DOI :
10.1109/TBME.2006.875718
Filename :
1643399
Link To Document :
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