{"links":{},"id":101783,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00101783","sets":["1164:5352:7471:7596"]},"path":["7596"],"owner":"11","recid":"101783","title":["複数粒子フィルタとモデル選択を用いたEEGデータの電流ダイポール推定"],"pubdate":{"attribute_name":"公開日","attribute_value":"2014-06-18"},"_buckets":{"deposit":"6a0caae4-5e9e-43df-a5cd-72dd50ca0776"},"_deposit":{"id":"101783","pid":{"type":"depid","value":"101783","revision_id":0},"owners":[11],"status":"published","created_by":11},"item_title":"複数粒子フィルタとモデル選択を用いたEEGデータの電流ダイポール推定","author_link":["0","0"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"複数粒子フィルタとモデル選択を用いたEEGデータの電流ダイポール推定"},{"subitem_title":"Current Dipole Localization from EEG by Multiple Particle Filters and Model Selection","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2014-06-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"早稲田大学先進理工学研究科"},{"subitem_text_value":"早稲田大学先進理工学研究科"},{"subitem_text_value":"筑波大学システム情報工学研究科"},{"subitem_text_value":"早稲田大学先進理工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Faculty of Science and Engineering, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Science and Engineering, Waseda University","subitem_text_language":"en"},{"subitem_text_value":"Graduate School of System and Information Engineering, University of Tsukuba","subitem_text_language":"en"},{"subitem_text_value":"Faculty of Science and Engineering, Waseda University","subitem_text_language":"en"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_publisher":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"情報処理学会","subitem_publisher_language":"ja"}]},"publish_status":"0","weko_shared_id":-1,"item_file_price":{"attribute_name":"Billing file","attribute_type":"file","attribute_value_mlt":[{"url":{"url":"https://ipsj.ixsq.nii.ac.jp/record/101783/files/IPSJ-BIO14038015.pdf"},"date":[{"dateType":"Available","dateValue":"2100-01-01"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-BIO14038015.pdf","filesize":[{"value":"1.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"41"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"dba8c9d4-6421-4902-8787-2bb99c1c1a7a","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2014 by the Institute of Electronics, Information and Communication Engineers This SIG report is only available to those in membership of the SIG."}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"金田, 有紀"},{"creatorName":"園田, 翔"},{"creatorName":"日野, 英逸"},{"creatorName":"村田, 昇"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Yuki, Kaneda","creatorNameLang":"en"},{"creatorName":"Sho, Sonoda","creatorNameLang":"en"},{"creatorName":"Hideitsu, Hino","creatorNameLang":"en"},{"creatorName":"Noboru, Murata","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA12055912","subitem_source_identifier_type":"NCID"}]},"item_4_textarea_12":{"attribute_name":"Notice","attribute_value_mlt":[{"subitem_textarea_value":"SIG Technical Reports are nonrefereed and hence may later appear in any journals, conferences, symposia, etc."}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_18gh","resourcetype":"technical report"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"本研究では EEG データから脳内の電流源の位置・モーメントおよび個数を近似ダイポールとして推定する．電流ダイポール推定問題を EEG の生成モデルの逆問題として定式化して，粒子フィルタを用いてダイポールの位置・モーメントを推定する．更に，ダイポール数を変えて複数の粒子フィルタを用意し，モデル選択規準によって適切なダイボール数を選択する．人工 EEG データ実験により，提案手法を用いて正しいダイポール数とそれらの位置．モーメントが推定できることを確認した．また，パターンリバーサル VEP に提案手法を適用して，生理学的知見から結果を考察したその結果，実 EEG データに対しても提案手法によってダイポールの数・位置・モーメントを推定可能であることを示した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"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.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告バイオ情報学（BIO）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2014-06-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"15","bibliographicVolumeNumber":"2014-BIO-38"}]},"relation_version_is_last":true,"weko_creator_id":"11"},"created":"2025-01-18T23:47:15.866573+00:00","updated":"2025-01-21T11:03:59.039118+00:00"}