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Real Time Ballistocardiogram Artifact Removal in EEG-fMRI Using Dilated Discrete Hermite Transform

Mahadevan, Anandi
http://rave.ohiolink.edu/etdc/view?acc_num=akron1226235813

Abstract Details

2008, Master of Science in Engineering, University of Akron, Biomedical Engineering.
Electroencephalogram (EEG) signals, when recorded within the strong magnetic field of an MR scanner, are subject to various artifacts, of which the ballistocardiogram (BCG) is one of the prominent artifacts affecting the quality of the EEG. The BCG is continuously varying with time and its spectrum overlaps with the EEG spectra, making its suppression a signal processing challenge. A novel method for the identification and removal of this artifact using shape basis functions of the new dilated discrete Hermite transform is investigated in this paper. The BCG artifacts are modeled for every heart beat, using these discrete Hermite basis functions, and are subsequently subtracted from the ongoing EEG. Experimental EEG data was recorded inside and outside a 3 Tesla MRI scanner, from a total of 7 subjects under various experimental conditions. Quantitative assessment of the efficiency of this algorithm was evaluated by adding known BCG templates, at varying Signal to Noise Ratios (SNRs), to the EEG recorded outside the scanner. Significant reduction of the BCG artifact (p<0.05) was obtained without distortion of the underlying EEG signal. This method was compared with current BCG artifact removal techniques using EEG data recorded within the scanner field and its performance was found to be better than the Average Artifact Subtraction (AAS) method and had comparable results to the Independent Component Analysis (ICA) based methods. Real time implementation of the algorithm is possible due to the ease of computations.
Dale H. Mugler, PhD (Advisor)
144 p.
Biomedical Research
Ballistocardiogram (BCG); Electroencephalogram (EEG); functional Magnetic Resonance Imaging (fMRI); Average Artifact Subtraction (AAS); Independent Component Analysis (ICA)

Recommended Citations

Citations

  • Mahadevan, A. (2008). Real Time Ballistocardiogram Artifact Removal in EEG-fMRI Using Dilated Discrete Hermite Transform [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1226235813

    APA Style (7th edition)

  • Mahadevan, Anandi. Real Time Ballistocardiogram Artifact Removal in EEG-fMRI Using Dilated Discrete Hermite Transform. 2008. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1226235813.

    MLA Style (8th edition)

  • Mahadevan, Anandi. "Real Time Ballistocardiogram Artifact Removal in EEG-fMRI Using Dilated Discrete Hermite Transform." Master's thesis, University of Akron, 2008. http://rave.ohiolink.edu/etdc/view?acc_num=akron1226235813

    Chicago Manual of Style (17th edition)

akron1226235813
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© 2008, all rights reserved.
This open access ETD is published by University of Akron and OhioLINK.