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Estimation of multiple sources using spatio-temporal data on athree-dimensional measurement of MEG
https://iwate-u.repo.nii.ac.jp/records/9775
https://iwate-u.repo.nii.ac.jp/records/9775308647cb-28d6-4c38-82e7-bb4139b188f9
| 名前 / ファイル | ライセンス | アクション |
|---|---|---|
itm-v37n4p2915-2917.pdf (189.6 kB)
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| アイテムタイプ | 学術雑誌論文 / Journal Article(1) | |||||||||
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| 公開日 | 2009-09-09 | |||||||||
| タイトル | ||||||||||
| タイトル | Estimation of multiple sources using spatio-temporal data on athree-dimensional measurement of MEG | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | 3-D MEG | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | multiple sources estimation | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | singular value decomposition analysis | |||||||||
| キーワード | ||||||||||
| 主題Scheme | Other | |||||||||
| 主題 | spatio-temporal date | |||||||||
| 資源タイプ | ||||||||||
| 資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||||||
| 資源タイプ | journal article | |||||||||
| 著者 |
Kobayashi, Koichiro
× Kobayashi, Koichiro
× Uchikawa, Yoshinori
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| 著者(機関) | ||||||||||
| 値 | Applied Superconductivity Research Laboratory, Faculty of Engineering, Iwate University Tokyo Denki University | |||||||||
| 著者(機関) | ||||||||||
| 値 | College of Science and Engineering, Tokyo Denki University | |||||||||
| 登録日 | ||||||||||
| 日付 | 2009-09-09 | |||||||||
| 書誌情報 |
IEEE Transactions on Magnetics 巻 37, 号 4, p. 2915-2917, 発行日 2001-01-01 |
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| ISSN | ||||||||||
| 収録物識別子タイプ | ISSN | |||||||||
| 収録物識別子 | 0018-9464 | |||||||||
| Abstract | ||||||||||
| 内容記述タイプ | Other | |||||||||
| 内容記述 | This paper describes a computer simulation study for estimating the multiple sources in the brain based on a three-dimensional measurement of magnetoencephalogram (3-D MEG). We propose a new source analysis method using spatio-temporal data of 3-D MEG and singular value decomposition analysis. The number of estimation sources is decided by the number of dominant singular values of spatio-temporal 3-D MEG data. The source localization is done as pattern matching by signal subspace of singular vectors and projection of an estimating source. In order to assess this algorithm, inverse calculation to the MEG model consisting of three sources located in the brain was performed. The results showed that three sources were dearly discriminated, and that the estimation error was less than 1 mm with SNR=5. The proposed method is useful for estimating multiple sources overlapping in time. | |||||||||
| 出版者 | ||||||||||
| 出版者 | IEEE | |||||||||
| 権利 | ||||||||||
| 権利情報 | © 2001 IEEE | |||||||||
| DOI | ||||||||||
| 関連タイプ | isIdenticalTo | |||||||||
| 識別子タイプ | DOI | |||||||||
| 関連識別子 | 10.1109/20.951346 | |||||||||
| 著者版フラグ | ||||||||||
| 出版タイプ | VoR | |||||||||
| 出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||||||
