Evaluating the efficacy of an automated procedure for EEG artifact removal

Yvonne Tran; Ranjit A. Thuraisingham; Ashley Craig; Hung Nguyen

doi:10.1109/IEMBS.2009.5334554

Evaluating the efficacy of an automated procedure for EEG artifact removal

Yvonne Tran^*, Ranjit A. Thuraisingham, Ashley Craig, Hung Nguyen

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

6 Citations (Scopus)

Abstract

Electroencephalography (EEG) signals are often contaminated with artifacts arising from many sources such as those with ocular and muscular origins. Artifact removal techniques often rely on the experience of the EEG technician to detect these artifact components for removal. This paper presents the results comparing an automated procedure (AT) against visually (VT) choosing artifactual components for removal, using second order blind identification (SOBI) and canonical correlation analyses. The results show that the resulting EEG signal after artifact removal for the AT and VT were comparable using a technique that measures the variance amongst electrodes and spectral energy. The AT technique is objective, faster and easier to use, and shown here to be comparable to the standard technique of visually detecting artifact components.

Original language	English
Title of host publication	Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society
Subtitle of host publication	Engineering the Future of Biomedicine, EMBC 2009
Publisher	Institute of Electrical and Electronics Engineers (IEEE)
Pages	376-379
Number of pages	4
ISBN (Print)	9781424432967
DOIs	https://doi.org/10.1109/IEMBS.2009.5334554
Publication status	Published - 2009
Externally published	Yes
Event	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 - Minneapolis, MN, United States Duration: 2 Sept 2009 → 6 Sept 2009

Conference

Conference	31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009
Country/Territory	United States
City	Minneapolis, MN
Period	2/09/09 → 6/09/09

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10.1109/IEMBS.2009.5334554

Cite this

Tran, Y., Thuraisingham, R. A., Craig, A., & Nguyen, H. (2009). Evaluating the efficacy of an automated procedure for EEG artifact removal. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009 (pp. 376-379). Article 5334554 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/IEMBS.2009.5334554

Tran, Yvonne ; Thuraisingham, Ranjit A. ; Craig, Ashley et al. / Evaluating the efficacy of an automated procedure for EEG artifact removal. Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers (IEEE), 2009. pp. 376-379

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abstract = "Electroencephalography (EEG) signals are often contaminated with artifacts arising from many sources such as those with ocular and muscular origins. Artifact removal techniques often rely on the experience of the EEG technician to detect these artifact components for removal. This paper presents the results comparing an automated procedure (AT) against visually (VT) choosing artifactual components for removal, using second order blind identification (SOBI) and canonical correlation analyses. The results show that the resulting EEG signal after artifact removal for the AT and VT were comparable using a technique that measures the variance amongst electrodes and spectral energy. The AT technique is objective, faster and easier to use, and shown here to be comparable to the standard technique of visually detecting artifact components.",

author = "Yvonne Tran and Thuraisingham, {Ranjit A.} and Ashley Craig and Hung Nguyen",

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Tran, Y, Thuraisingham, RA, Craig, A & Nguyen, H 2009, Evaluating the efficacy of an automated procedure for EEG artifact removal. in Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009., 5334554, Institute of Electrical and Electronics Engineers (IEEE), pp. 376-379, 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009, Minneapolis, MN, United States, 2/09/09. https://doi.org/10.1109/IEMBS.2009.5334554

Evaluating the efficacy of an automated procedure for EEG artifact removal. / Tran, Yvonne; Thuraisingham, Ranjit A.; Craig, Ashley et al.
Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers (IEEE), 2009. p. 376-379 5334554.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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AB - Electroencephalography (EEG) signals are often contaminated with artifacts arising from many sources such as those with ocular and muscular origins. Artifact removal techniques often rely on the experience of the EEG technician to detect these artifact components for removal. This paper presents the results comparing an automated procedure (AT) against visually (VT) choosing artifactual components for removal, using second order blind identification (SOBI) and canonical correlation analyses. The results show that the resulting EEG signal after artifact removal for the AT and VT were comparable using a technique that measures the variance amongst electrodes and spectral energy. The AT technique is objective, faster and easier to use, and shown here to be comparable to the standard technique of visually detecting artifact components.

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Tran Y, Thuraisingham RA, Craig A, Nguyen H. Evaluating the efficacy of an automated procedure for EEG artifact removal. In Proceedings of the 31st Annual International Conference of the IEEE Engineering in Medicine and Biology Society: Engineering the Future of Biomedicine, EMBC 2009. Institute of Electrical and Electronics Engineers (IEEE). 2009. p. 376-379. 5334554 doi: 10.1109/IEMBS.2009.5334554

Evaluating the efficacy of an automated procedure for EEG artifact removal

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