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.
| Original language | English |
|---|---|
| Title of host publication | BMEiCON-2011 - 4th Biomedical Engineering International Conference |
| Pages | 266-268 |
| Number of pages | 3 |
| DOIs | |
| Publication status | Published - Dec 1 2011 |
| Event | 4th Biomedical Engineering International Conference, BMEiCON-2011 - Chiang Mai, Thailand Duration: Jan 29 2012 → Jan 31 2012 |
Publication series
| Name | BMEiCON-2011 - 4th Biomedical Engineering International Conference |
|---|
Other
| Other | 4th Biomedical Engineering International Conference, BMEiCON-2011 |
|---|---|
| Country | Thailand |
| City | Chiang Mai |
| Period | 1/29/12 → 1/31/12 |
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All Science Journal Classification (ASJC) codes
- Biomedical Engineering
Cite this
Selection and removal of artifacts in EEG based on independent components. / Ikuno, Takahiro; Katayama, Yoshinori; Iramina, Keiji.
BMEiCON-2011 - 4th Biomedical Engineering International Conference. 2011. p. 266-268 6172067 (BMEiCON-2011 - 4th Biomedical Engineering International Conference).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Selection and removal of artifacts in EEG based on independent components
AU - Ikuno, Takahiro
AU - Katayama, Yoshinori
AU - Iramina, Keiji
PY - 2011/12/1
Y1 - 2011/12/1
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.
UR - http://www.scopus.com/inward/record.url?scp=84860447125&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84860447125&partnerID=8YFLogxK
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
ER -