Paper Abstract and Keywords |
Presentation |
2013-01-25 13:00
Signal separation for topography estimation of visual evoked potentials by combination of mathematical models Kazuhiko Goto, Takenao Sugi, Yoshitaka Matsuda, Satoru Goto (Saga Univ.), Hiroki Fukuda (Yanagawa rehabilitation school), Yoshinobu Goto (IUHW), Takao Yamasaki, Shozo Tobimatsu (Kyushu Univ.) MBE2012-72 |
Abstract |
(in Japanese) |
(See Japanese page) |
(in English) |
This study prop oses a metho d for estimating the top ographical distribution of visual evoked p otentials
(VEPs) from separated p ower sp ectrum comp onents by combination of mo dels. The original p ower sp ectrum usu-ally consists of VEP, background activities, artifacts and other comp onents. To extract the VEP comp onents from the original p ower sp ectrum, mo dels corresp onding to background activities as p osterior dominant alpha rhythm, low-frequency comp onent and high-frequency comp onent caused due to the EMG artifact, were constructed, and the relevant parameters were estimated. Finally, VEP comp onents were calculated by subtracting those comp o-nents from the original p ower sp ectrum. The merits and usefulness of the prop osed metho d were analyzed with a comparison to the conventional stimulus-lo cked averaging metho d. An accurate estimation of the VEP comp onents can b e p erformed even when the noise comp onents are contaminated. |
Keyword |
(in Japanese) |
(See Japanese page) |
(in English) |
Visual evoked potentials (VEPs) / Topography / Signal separation / Mathematical model / / / / |
Reference Info. |
IEICE Tech. Rep., vol. 112, no. 417, MBE2012-72, pp. 1-6, Jan. 2013. |
Paper # |
MBE2012-72 |
Date of Issue |
2013-01-18 (MBE) |
ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
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MBE2012-72 |
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