TY - GEN
T1 - Selection and removal of artifacts in EEG based on independent components
AU - Ikuno, Takahiro
AU - Katayama, Yoshinori
AU - Iramina, Keiji
N1 - Copyright:
Copyright 2012 Elsevier B.V., All rights reserved.
PY - 2011
Y1 - 2011
N2 - 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.
AB - 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.
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U2 - 10.1109/BMEiCon.2012.6172067
DO - 10.1109/BMEiCon.2012.6172067
M3 - Conference contribution
AN - SCOPUS:84860447125
SN - 9781457721908
T3 - BMEiCON-2011 - 4th Biomedical Engineering International Conference
SP - 266
EP - 268
BT - BMEiCON-2011 - 4th Biomedical Engineering International Conference
T2 - 4th Biomedical Engineering International Conference, BMEiCON-2011
Y2 - 29 January 2012 through 31 January 2012
ER -