Presentation 2014-01-25
Amplitude Estimation of Visual Evoked Potentials and its Analysis by Use of EEC Model
Kazuhiko GOTO, Takenao SUGI, Yoshitaka MATSUDA, Satoru GOTO, Hiroki FUKUDA, Yoshinobu GOTO, Takao YAMASAKI, Shozo TOBIMATSU,
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Abstract(in English) Visual evoked potentials (VEPs) are the electrical response of the brain which reflects the visual information processing. Feature extraction of background EEG activity during the visual stimulation is also one of significant items in VEP analysis. In that case, separation of VEP component and background EEG component (mainly posterior dominant rhythm) is crucial. In the past, the method for estimating both amplitude of VEP and dominant rhythm by use of EEG model has been proposed. This present study, the proposed method was applied to actual recorded VEP data and its effectiveness was evaluated. Usefulness of the proposed method was investigated by comparing the conventional power spectrum averaging method. The proposed method will be applicable to show an accurate VEP analysis and characteristic analysis of background activity under visual stimulus.
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Keyword(in English) Visual evoked potentials (VEPs) / posterior dominant rhythm / signal separation / EEG model
Paper # MBE2013-105
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Conference Information
Committee MBE
Conference Date 2014/1/17(1days)
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Paper Information
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) Amplitude Estimation of Visual Evoked Potentials and its Analysis by Use of EEC Model
Sub Title (in English)
Keyword(1) Visual evoked potentials (VEPs)
Keyword(2) posterior dominant rhythm
Keyword(3) signal separation
Keyword(4) EEG model
1st Author's Name Kazuhiko GOTO
1st Author's Affiliation Saga University()
2nd Author's Name Takenao SUGI
2nd Author's Affiliation Saga University
3rd Author's Name Yoshitaka MATSUDA
3rd Author's Affiliation Saga University
4th Author's Name Satoru GOTO
4th Author's Affiliation Saga University
5th Author's Name Hiroki FUKUDA
5th Author's Affiliation Yame Rehabilitation Hospital
6th Author's Name Yoshinobu GOTO
6th Author's Affiliation International University of Health and Welfare
7th Author's Name Takao YAMASAKI
7th Author's Affiliation Kyushu University
8th Author's Name Shozo TOBIMATSU
8th Author's Affiliation Kyushu University
Date 2014-01-25
Paper # MBE2013-105
Volume (vol) vol.113
Number (no) 409
Page pp.pp.-
#Pages 4
Date of Issue