Presentation 2014-09-12
Improvement of Cortical Dipole Imaging Based on Filtering Property
Shintaro TAKASAWA, Junichi HORI,
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Abstract(in English) Cortical dipole imaging has been proposed as a method to visualize electroencephalogram (EEG) in high spatial resolution. In the present study, we aimed to improve the spatial resolution of the cortical dipole imaging by focusing on the filtering property when solving the inverse problem. We computed the optimal filtering property from various signal configurations and investigated the inverse estimation that makes the most of characteristics by approximating the shape of it with the sigmoid function. This method was compared with Tikhonov regularization, the truncated singular value decomposition (TSVD), and the truncated total least squares (TTLS) by the relative error in a computer simulation. As a result, the estimation accuracy was improved.
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Keyword(in English) EEG / cortical dipole imaging / filtering property / filter factor
Paper # BioX2014-12,MBE2014-35
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Committee MBE
Conference Date 2014/9/5(1days)
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Registration To ME and Bio Cybernetics (MBE)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Improvement of Cortical Dipole Imaging Based on Filtering Property
Sub Title (in English)
Keyword(1) EEG
Keyword(2) cortical dipole imaging
Keyword(3) filtering property
Keyword(4) filter factor
1st Author's Name Shintaro TAKASAWA
1st Author's Affiliation Graduate School of Science and Technology, Niigata University()
2nd Author's Name Junichi HORI
2nd Author's Affiliation Graduate School of Science and Technology, Niigata University
Date 2014-09-12
Paper # BioX2014-12,MBE2014-35
Volume (vol) vol.114
Number (no) 213
Page pp.pp.-
#Pages 6
Date of Issue