Presentation 2014-06-26
Current Dipole Localization from EEG by Multiple Particle Filters and Model Selection
Yuki KANEDA, Sho SONODA, Hideitsu HINO, Noboru MURATA,
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Abstract(in English) In this study, the location, the moment and the number of ionic current modeled as dipoles are estimated from EEG data. The source localization problem is formulated as an inverse problem of the EEG generative model and the location and moment of dipoles are estimated by multiple particle filters. The appropriate number of dipoles is selected by a model selection criterion. The proposed method is shown to estimate accurately the locations and moments of dipoles of appropriate numbers. The proposed method is also applied to pattern reversal VEP data and shown to estimate the locations and the moments and the number of the dipoles.
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Keyword(in English) source localization problem / particle filter / model selection / EEG
Paper # NC2014-5,IBISML2014-5
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Committee IBISML
Conference Date 2014/6/18(1days)
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Registration To Information-Based Induction Sciences and Machine Learning (IBISML)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Current Dipole Localization from EEG by Multiple Particle Filters and Model Selection
Sub Title (in English)
Keyword(1) source localization problem
Keyword(2) particle filter
Keyword(3) model selection
Keyword(4) EEG
1st Author's Name Yuki KANEDA
1st Author's Affiliation Faculty of Science and Engineering, Waseda University()
2nd Author's Name Sho SONODA
2nd Author's Affiliation Faculty of Science and Engineering, Waseda University
3rd Author's Name Hideitsu HINO
3rd Author's Affiliation Graduate School of System and Information Engineering, University of Tsukuba
4th Author's Name Noboru MURATA
4th Author's Affiliation Faculty of Science and Engineering, Waseda University
Date 2014-06-26
Paper # NC2014-5,IBISML2014-5
Volume (vol) vol.114
Number (no) 105
Page pp.pp.-
#Pages 6
Date of Issue