NDLI: Evaluating the efficacy of an automated procedure for EEG artifact removal

Content Provider	IEEE Xplore Digital Library
Author	Yvonne Tran Thuraisingham, R.A. Craig, A. Hung Nguyen
Copyright Year	2009
Description	Author affiliation: Consultant for the Rehabilitation Studies Unit, University of Sydney (Thuraisingham, R.A.) \|\| Key University Research Centre in Health Technologies, Faculty of Engineering and Information Technology, University of Technology, Sydney (Yvonne Tran) \|\| Faculty of Engineering and Information Technology, University of Technology, Sydney (Hung Nguyen) \|\| Rehabilitation Studies Unit, University of Sydney (Craig, A.)
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.
Starting Page	376
Ending Page	379
File Size	398072
Page Count	4
File Format	PDF
ISBN	9781424432967
ISSN	1557170X
DOI	10.1109/IEMBS.2009.5334554
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2009-09-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electroencephalography Signal processing Muscles Independent component analysis Autocorrelation Electrodes Signal analysis Information technology USA Councils Fractals
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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