{"id":240487,"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00240487","sets":["1164:2036:11466:11785"]},"path":["11785"],"owner":"44499","recid":"240487","title":["ランダムアンダーサンプリング型圧縮センシング脳波計測システムにおける低雑音アンプの消費電力低減手法"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-11-05"},"_buckets":{"deposit":"32988753-a74b-4760-940d-75a40aeaf56f"},"_deposit":{"id":"240487","pid":{"type":"depid","value":"240487","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"ランダムアンダーサンプリング型圧縮センシング脳波計測システムにおける低雑音アンプの消費電力低減手法","author_link":["659793","659794","659797","659795","659796","659792"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"ランダムアンダーサンプリング型圧縮センシング脳波計測システムにおける低雑音アンプの消費電力低減手法"},{"subitem_title":"Power Reduction Technique for Low Noise Amplifier in Random undersampling Compressed Sensing EEG Measurement System","subitem_title_language":"en"}]},"item_type_id":"4","publish_date":"2024-11-05","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"大阪大学電気電子情報通信工学専攻"},{"subitem_text_value":"大阪大学電気電子情報通信工学専攻"},{"subitem_text_value":"大阪大学電気電子情報通信工学専攻"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Division of Electrical, Electronic and Information Engineering, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Division of Electrical, Electronic and Information Engineering, Osaka University","subitem_text_language":"en"},{"subitem_text_value":"Division of Electrical, Electronic and Information 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/240487/files/IPSJ-SLDM24207005.pdf","label":"IPSJ-SLDM24207005.pdf"},"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-SLDM24207005.pdf","filesize":[{"value":"1.5 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"0","billingrole":"10"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_login","version_id":"53447a8c-8396-4529-acc3-9af607241d17","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 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":"三井, 健司"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"兼本, 大輔"}],"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":"Kenji, Mii","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"Daisuke, Kanemoto","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":"本稿ではランダムアンダーサンプリング型圧縮センシングを活用した脳波計測システムにおいて低雑音アンプ (LNA) を間欠動作させることで低消費電力化を検討した．LNA は 0.18μm の CMOS プロセスを用いて設計し，間欠動作させない状態の消費電力は 0.392μW/ch である．4 倍の圧縮を実現するランダムアンダーサンプリングパターンを活用し間欠動作させた場合，シミュレーション結果を元に試算すると LNA の消費電力は 0.169μW/ch まで減少できた．つまり，間欠動作により約 57% の消費電力低減効果があることが判明した．","subitem_description_type":"Other"}]},"item_4_description_8":{"attribute_name":"論文抄録(英)","attribute_value_mlt":[{"subitem_description":"In this study, we propose a low power consumption method for an electroencephalogram (EEG) measurement system utilizing random undersampling type compressive sensing by operating the low-noise amplifier (LNA) intermittently. The LNA was designed using a 0.18μm CMOS process, and its power consumption is 0.392μW/ch at continuous operation. When the LNA is operated intermittently by utilizing a random undersampling pattern that compresses ratio is 4, the power consumption of the LNA can be reduced to 0.169μW/ch based on the simulation results. This means that the power consumption is reduced by about 57% compared to the case without intermittent operation.","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"6","bibliographic_titles":[{"bibliographic_title":"研究報告システムとLSIの設計技術（SLDM）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-11-05","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"5","bibliographicVolumeNumber":"2024-SLDM-207"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"updated":"2025-01-19T07:57:51.626322+00:00","created":"2025-01-19T01:44:42.279342+00:00","links":{}}