Gradient artifact removal in concurrently acquired EEG data using independent vector analysis

Partha Pratim Acharjee, Ronald Phlypo, Lei Wu, Vince Daniel Calhoun, Tulay Adali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

We consider the problem of removing gradient artifact from electroencephalogram (EEG) signal, registered during a functional magnetic resonance imaging (fMRI) acquisition, by calculating and utilizing the statistical properties of the artifacts. We propose a new approach to EEG data organization for extracting artifactual components using independent vector analysis. This new approach estimates the gradient artifact signal as a single component thus alleviating the need of using advanced order selection algorithm before back reconstruction of EEG data. Experimental results are compared with average artifact subtraction method on real EEG data collected concurrently with fMRI data.

Original languageEnglish (US)
Title of host publicationICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages5859-5863
Number of pages5
ISBN (Print)9781479928927
DOIs
StatePublished - 2014
Externally publishedYes
Event2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy
Duration: May 4 2014May 9 2014

Other

Other2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
CountryItaly
CityFlorence
Period5/4/145/9/14

Fingerprint

Electroencephalography
Magnetic Resonance Imaging

Keywords

  • AAS
  • EEG
  • Gradient artifact
  • Independent vector analysis

ASJC Scopus subject areas

  • Signal Processing
  • Software
  • Electrical and Electronic Engineering

Cite this

Acharjee, P. P., Phlypo, R., Wu, L., Calhoun, V. D., & Adali, T. (2014). Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (pp. 5859-5863). [6854727] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICASSP.2014.6854727

Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. / Acharjee, Partha Pratim; Phlypo, Ronald; Wu, Lei; Calhoun, Vince Daniel; Adali, Tulay.

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 5859-5863 6854727.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Acharjee, PP, Phlypo, R, Wu, L, Calhoun, VD & Adali, T 2014, Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. in ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings., 6854727, Institute of Electrical and Electronics Engineers Inc., pp. 5859-5863, 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014, Florence, Italy, 5/4/14. https://doi.org/10.1109/ICASSP.2014.6854727
Acharjee PP, Phlypo R, Wu L, Calhoun VD, Adali T. Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 5859-5863. 6854727 https://doi.org/10.1109/ICASSP.2014.6854727
Acharjee, Partha Pratim ; Phlypo, Ronald ; Wu, Lei ; Calhoun, Vince Daniel ; Adali, Tulay. / Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 5859-5863
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