NDLI: Selection and removal of artifacts in EEG based on independent components

Content Provider	IEEE Xplore Digital Library
Author	Ikuno, T. Katayama, Y. Iramina, K.
Copyright Year	2011
Description	Author affiliation: Graduate School of Systems Life, Sciences, Kyushu University, Fukuoka, Japan (Ikuno, T.) \|\| Faculty of Information Science and Electrical Engineering, Graduate, School of Systems Life Sciences, Kyushu University, Fukuoka, Japan (Iramina, K.) \|\| Faculty of Information Science and Electrical Engineering, Kyushu University, Fukuoka, Japan (Katayama, Y.)
Abstract	Electroencephalogram (EEG) is the recording of electrical activity along the scalp. EEG is very small signals of a few μV. Artifacts arising from living body often mingle with the EEG. A brain computer interface (BCI) is a communication between a human brain and an external device using EEG. The artifacts interfere with driving the BCI system. They may change the features of nervous activity or even be incorrectly used as the source of control in BCI systems. Recently, independent component analysis (ICA) has become one of the most prominent techniques for EEG. A typical method removes the artifacts after the offline training using the ICA. However, the method is not suitable for BCI systems such as online driving. So, we propose a method to eliminate artifacts (especially blink artifacts) from the body. This method does not require offline training and processes close to the real-time processing.
Starting Page	266
Ending Page	268
File Size	366696
Page Count	3
File Format	PDF
ISBN	9781457721892
e-ISBN	9781457721908
DOI	10.1109/BMEiCon.2012.6172067
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-01-29
Publisher Place	Thailand
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Electrodes Independent Component analysis EEG Eye blinks Independent component analysis Educational institutions Electroencephalography Kurtosis Matrix decomposition Artifact Brain computer interfaces
Content Type	Text
Resource Type	Article

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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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