Online artifact removal in EEG signals

Fumiyoshi Matsusaki, Takahiro Ikuno, Yoshinori Katayama, Keiji Iramina

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

A Brain Computer Interface(BCI) is a communication tool between human and external devices by means of electroencephalogram(EEG) which is the recording of electrical activity derived from scalp. EEG contains some artifacts because of body movement and eye blinking, for example. Therefore subjects must not to move and blink during experiment to get fine data. EEG signal with artifact is eliminated in the offline analysis. However, in the online BCI system, artifacts must be removed to avoid malfunction. Independent component analysis (ICA) has become one of the most prominent techniques for EEG. In generally, method of using ICA can remove artifacts after the offline training, but such a method is not suitable for BCI systems in the online driving. In this study, we propose a method the online EOG artifact removal method using ICA, and verify the effect of this method in the δ(1-3Hz), θ(4-7Hz), α(8-12Hz), β(14-30Hz) frequency range. Eye blinks components detection is based on kurtosis. First, the occurrence of a blink is detected by observing the EEG. Next, set the interval that contains the blink and apply ICA to EEG in the interval. Blink components obtained by ICA is determined by the kurtosis. After that, blink artifact components are removed. The EEG has been rebuilt using the other independent components obtained by ICA. As a result, it can remove the effect of EOG artifact in all frequency range.

Original languageEnglish
Title of host publicationWorld Congress on Medical Physics and Biomedical Engineering
Pages352-355
Number of pages4
Volume39 IFMBE
DOIs
Publication statusPublished - Apr 16 2013
EventWorld Congress on Medical Physics and Biomedical Engineering - Beijing, China
Duration: May 26 2012May 31 2012

Other

OtherWorld Congress on Medical Physics and Biomedical Engineering
CountryChina
CityBeijing
Period5/26/125/31/12

Fingerprint

Electroencephalography
Independent component analysis
Brain computer interface
Communication
Experiments

All Science Journal Classification (ASJC) codes

  • Biomedical Engineering
  • Bioengineering

Cite this

Matsusaki, F., Ikuno, T., Katayama, Y., & Iramina, K. (2013). Online artifact removal in EEG signals. In World Congress on Medical Physics and Biomedical Engineering (Vol. 39 IFMBE, pp. 352-355) https://doi.org/10.1007/978-3-642-29305-4_94

Online artifact removal in EEG signals. / Matsusaki, Fumiyoshi; Ikuno, Takahiro; Katayama, Yoshinori; Iramina, Keiji.

World Congress on Medical Physics and Biomedical Engineering. Vol. 39 IFMBE 2013. p. 352-355.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Matsusaki, F, Ikuno, T, Katayama, Y & Iramina, K 2013, Online artifact removal in EEG signals. in World Congress on Medical Physics and Biomedical Engineering. vol. 39 IFMBE, pp. 352-355, World Congress on Medical Physics and Biomedical Engineering, Beijing, China, 5/26/12. https://doi.org/10.1007/978-3-642-29305-4_94
Matsusaki F, Ikuno T, Katayama Y, Iramina K. Online artifact removal in EEG signals. In World Congress on Medical Physics and Biomedical Engineering. Vol. 39 IFMBE. 2013. p. 352-355 https://doi.org/10.1007/978-3-642-29305-4_94
Matsusaki, Fumiyoshi ; Ikuno, Takahiro ; Katayama, Yoshinori ; Iramina, Keiji. / Online artifact removal in EEG signals. World Congress on Medical Physics and Biomedical Engineering. Vol. 39 IFMBE 2013. pp. 352-355
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