NDLI: A New Blind Source Separation Method to Remove Artifact in EEG Signals

Content Provider	IEEE Xplore Digital Library
Author	Zhang Chaozhu Lian Siyao Abdullah, A.K.
Copyright Year	2013
Description	Author affiliation: Coll. of Inf. & Commun. Eng., Harbin Eng. Univ., Harbin, China (Zhang Chaozhu; Lian Siyao; Abdullah, A.K.)
Abstract	EEG (Electroencephalogram) signals recording the brain activities which carry abundant physiological and pathological information, have great significance in the research. However, it mixed with a variety of artifacts, special the EOG (Electrooculogram), that affect the judgment, removing the artifact is of great meaning. Blind Source Separation (BSS) is popular in signal processing recently, many methods are applied to remove artifacts from EEG signals, such as Second Order Blind Identification (SOBI), Wavelet Transform (WT) and Independent Component Analysis (ICA). Stone's method is to use two different linear filters which process the same set sources, here first use to remove the EOG artifact in EEG signals, it is also a new field for the stone algorithm application. Then compared with two classical algorithms, determine the superiority of the proposed algorithm, finally give the conclusion.
Sponsorship	IEEE Comput. Soc.
Starting Page	1430
Ending Page	1433
File Size	418611
Page Count	4
File Format	PDF
ISBN	9780769551227
DOI	10.1109/IMCCC.2013.319
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-21
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Electrooculography Maximum likelihood detection Source separation Finite impulse response filters BSS EEG Nonlinear filters Educational institutions Electroencephalography EOG Stone Artifact
Content Type	Text
Resource Type	Article

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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in