{"id":209283,"updated":"2025-01-19T18:34:01.675594+00:00","links":{},"created":"2025-01-19T01:10:36.241612+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00209283","sets":["1164:2036:10484:10485"]},"path":["10485"],"owner":"44499","recid":"209283","title":["OD-ICAを利用した圧縮センシング脳波計測フレームワークにおけるICAアルゴリズムの比較"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-01-18"},"_buckets":{"deposit":"34e2ad2e-f416-49fa-b38a-02a987d82390"},"_deposit":{"id":"209283","pid":{"type":"depid","value":"209283","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"OD-ICAを利用した圧縮センシング脳波計測フレームワークにおけるICAアルゴリズムの比較","author_link":["527158","527159","527155","527161","527156","527162","527160","527157"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"OD-ICAを利用した圧縮センシング脳波計測フレームワークにおけるICAアルゴリズムの比較"},{"subitem_title":"Comparison of ICA Algorithms in the Compressed Sensing EEG Measurement Framework Using OD-ICA","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"アルゴリズム","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-01-18","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学工学研究科"},{"subitem_text_value":"大阪大学工学研究科"},{"subitem_text_value":"大阪大学工学研究科"},{"subitem_text_value":"大阪大学工学研究科"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"The Graduate School of Engineering, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"The Graduate School of Engineering, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"The Graduate School of Engineering, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"The Graduate School of Engineering, Osaka 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/209283/files/IPSJ-SLDM21193014.pdf","label":"IPSJ-SLDM21193014.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM21193014.pdf","filesize":[{"value":"2.7 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"5d758db6-130f-4b09-8df9-f6361c9d973b","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 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":"奥村, 渡"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"兼本, 大輔"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"毎田, 修"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"廣瀬, 哲也"}],"nameIdentifiers":[{}]}]},"item_4_creator_6":{"attribute_name":"著者名(英)","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"Wataru, Okumura","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Daisuke, Kanemoto","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Osamu, Maida","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Tetsuya, Hirose","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11451459","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_source_id_11":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"2188-8639","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"無線型の脳波計測装置における軽量化及び長時間の測定を可能にするには，脳波計の消費電力削減が必要となる．そこで我々は圧縮センシングを用いることで無線脳波計測フレームワークにおける消費電力の削減を目指している．しかし圧縮センシングにおいて瞬きによるアーチファクトの混入は，圧縮した EEG を高い精度で復元する上で重大な課題となっている．そこで瞬きによるアーチファクトを取り除く方法として外れ値検知を用いた独立成分分析法 (OD-ICA) という方法が提案されている．本研究では OD-ICA に用いる 3 種類の独立成分分析アルゴリズムを比較検討し，本フレームワークに適したアルゴリズムを明らかにする．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"Compressed sensing gives reduction of power consumption for electroencephalogram (EEG) measurement system. However, ocular artifacts(OA) for compressed EEG signals cause a serious problem in reconstruction of compressed EEG signal with high accuracy. Therefore, an independent component analysis method using outlier detection (OD-ICA) has been proposed as a method for removing OA. The purpose of this study is to compare and examine three types of independent component analysis algorithms used for OD-ICA and select an algorithm suitable for this framework.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"5","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-01-18","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"14","bibliographicVolumeNumber":"2021-SLDM-193"}]},"relation_version_is_last":true,"weko_creator_id":"44499"}}