Presentation 2014-09-12
Development of simultaneous eye and cortical current estimation method from measured EEG data during smooth pursuit eye movements
Yoshinari KIRIBAYASHI, Ken-ichi MORISHIGE, Takeshi OGAWA, Masa-aki SATO, Mitsuo KAWATO,
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Abstract(in English) In this study, we applied our proposed MEG denosing method to EEG data. EEG is more difficult than MEG because the scalp electrical potential is the combination of different electric conductivities in various shells. The three-shell boundary element method (BEM) model derived from the MRI data set was employed. By introducing proper prior information, our approach can reasonably remove the effect of artifacts from contaminated EEG signals.
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Keyword(in English) EEG / smooth pursuit eye movement / Hierarchical Bayesian estimation
Paper # BioX2014-22,MBE2014-45
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Committee BioX
Conference Date 2014/9/5(1days)
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Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Development of simultaneous eye and cortical current estimation method from measured EEG data during smooth pursuit eye movements
Sub Title (in English)
Keyword(1) EEG
Keyword(2) smooth pursuit eye movement
Keyword(3) Hierarchical Bayesian estimation
1st Author's Name Yoshinari KIRIBAYASHI
1st Author's Affiliation Faculty of Engineering, Toyama Prefectural University()
2nd Author's Name Ken-ichi MORISHIGE
2nd Author's Affiliation Faculty of Engineering, Toyama Prefectural University:ATR Cognitive Mechanisms Laboratories
3rd Author's Name Takeshi OGAWA
3rd Author's Affiliation ATR Cognitive Mechanisms Laboratories
4th Author's Name Masa-aki SATO
4th Author's Affiliation ATR Neuroal Information Analysis Laboratories
5th Author's Name Mitsuo KAWATO
5th Author's Affiliation ATR Brain Information Communication Research Laboratory Group
Date 2014-09-12
Paper # BioX2014-22,MBE2014-45
Volume (vol) vol.114
Number (no) 212
Page pp.pp.-
#Pages 6
Date of Issue