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

Partha Pratim Acharjee; Ronald Phlypo; Lei Wu; Vince D. Calhoun; Tulay Adali

doi:10.1109/ICASSP.2014.6854727

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

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

School of Medicine

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 language	English (US)
Title of host publication	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	5859-5863
Number of pages	5
ISBN (Print)	9781479928927
DOIs	https://doi.org/10.1109/ICASSP.2014.6854727
State	Published - 2014
Event	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 - Florence, Italy Duration: May 4 2014 → May 9 2014

Publication series

Name	ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
ISSN (Print)	1520-6149

Other

Other	2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Country/Territory	Italy
City	Florence
Period	5/4/14 → 5/9/14

Keywords

AAS
EEG
Gradient artifact
Independent vector analysis

ASJC Scopus subject areas

Software
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.1109/ICASSP.2014.6854727

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

Research output: Chapter in Book/Report/Conference proceeding › Conference 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 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014., 6854727, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 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 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc. 2014. p. 5859-5863. 6854727. (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings). doi: 10.1109/ICASSP.2014.6854727

Acharjee, Partha Pratim ; Phlypo, Ronald ; Wu, Lei et al. / Gradient artifact removal in concurrently acquired EEG data using independent vector analysis. 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 5859-5863 (ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings).

@inproceedings{fcf83338c8634c9196c8d6f7c2b4f5f8,

title = "Gradient artifact removal in concurrently acquired EEG data using independent vector analysis",

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.",

keywords = "AAS, EEG, Gradient artifact, Independent vector analysis",

author = "Acharjee, {Partha Pratim} and Ronald Phlypo and Lei Wu and Calhoun, {Vince D.} and Tulay Adali",

year = "2014",

doi = "10.1109/ICASSP.2014.6854727",

language = "English (US)",

isbn = "9781479928927",

series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "5859--5863",

booktitle = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014",

note = "2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014 ; Conference date: 04-05-2014 Through 09-05-2014",

}

TY - GEN

T1 - Gradient artifact removal in concurrently acquired EEG data using independent vector analysis

AU - Acharjee, Partha Pratim

AU - Phlypo, Ronald

AU - Wu, Lei

AU - Calhoun, Vince D.

AU - Adali, Tulay

PY - 2014

Y1 - 2014

N2 - 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.

AB - 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.

KW - AAS

KW - EEG

KW - Gradient artifact

KW - Independent vector analysis

UR - http://www.scopus.com/inward/record.url?scp=84905230200&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84905230200&partnerID=8YFLogxK

U2 - 10.1109/ICASSP.2014.6854727

DO - 10.1109/ICASSP.2014.6854727

M3 - Conference contribution

AN - SCOPUS:84905230200

SN - 9781479928927

T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

SP - 5859

EP - 5863

BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014

Y2 - 4 May 2014 through 9 May 2014

ER -

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

Abstract

Publication series

Other

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this