Presentation 2009-11-13
A Topographic Analysis of Human Scalp Alpha EEG by the Complex-valued ICA
Zhan ZHANG, Norihiro KATAYAMA, Kazuma WATANABE, Hiroto NAKATANI, Akihiro KARASHIMA, Mitsuyuki NAKAO,
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Abstract(in English) Sleepiness at the wheel is one of the causes of fatal crashes and highway accidents by car drivers. Since the EEG alpha activity occurs in association with the subjective sleepiness, and the alpha activities are observed in a mixed signal, aureate decomposition method has been required. In this study, we propose a method to decompose the time-delayed mixture of alpha source signals by using the time-frequency domain analysis and complex-valued independent component analysis. The method is applied to the human scalp EEG data to decompose the alpha activities occur associated with the subjective sleepiness during a driving simulation task. It is shown that this method provide information about not only the spatial distribution of alpha power (power map) generated by each source but also the phase difference among the recording site (phase map). The alpha power map and the phase map would be useful for the investigation of the mechanism of cortical alpha rhythms such as dipole estimation in the brain
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Keyword(in English) Human electroencephalography (EEG) / Alpha rhythm / Time-frequency domain analysis / Independent component analysis
Paper # MBE2009-69
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Conference Information
Committee MBE
Conference Date 2009/11/5(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language ENG
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A Topographic Analysis of Human Scalp Alpha EEG by the Complex-valued ICA
Sub Title (in English)
Keyword(1) Human electroencephalography (EEG)
Keyword(2) Alpha rhythm
Keyword(3) Time-frequency domain analysis
Keyword(4) Independent component analysis
1st Author's Name Zhan ZHANG
1st Author's Affiliation Graduate School of Information Sciences, Tohoku University()
2nd Author's Name Norihiro KATAYAMA
2nd Author's Affiliation Graduate School of Information Sciences, Tohoku University
3rd Author's Name Kazuma WATANABE
3rd Author's Affiliation Graduate School of Information Sciences, Tohoku University
4th Author's Name Hiroto NAKATANI
4th Author's Affiliation DENSO CORPORATION Research Laboratories
5th Author's Name Akihiro KARASHIMA
5th Author's Affiliation Graduate School of Information Sciences, Tohoku University
6th Author's Name Mitsuyuki NAKAO
6th Author's Affiliation Graduate School of Information Sciences, Tohoku University
Date 2009-11-13
Paper # MBE2009-69
Volume (vol) vol.109
Number (no) 279
Page pp.pp.-
#Pages 6
Date of Issue