{"created":"2025-01-19T01:14:46.062240+00:00","metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00213927","sets":["1164:3027:10463:10717"]},"path":["10717"],"owner":"44499","recid":"213927","title":["MOxセンサを活用した水素濃度計測による呼吸数監視手法の評価"],"pubdate":{"attribute_name":"公開日","attribute_value":"2021-11-23"},"_buckets":{"deposit":"8306c7e6-4c25-452a-9e83-c81c5d9a4c17"},"_deposit":{"id":"213927","pid":{"type":"depid","value":"213927","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"MOxセンサを活用した水素濃度計測による呼吸数監視手法の評価","author_link":["547932","547931","547930"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"MOxセンサを活用した水素濃度計測による呼吸数監視手法の評価"},{"subitem_title":"Evaluation of a Respiratory Rate Monitoring Method Using MOx Sensors to Measure Hydrogen Concentration","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"デバイス","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2021-11-23","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東京電機大学"},{"subitem_text_value":"東京電機大学"},{"subitem_text_value":"東京電機大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Tokyo Denki Uniersity","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Denki Uniersity","subitem_text_language":"en"},{"subitem_text_value":"Tokyo Denki Uniersity","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/213927/files/IPSJ-HCI21195022.pdf","label":"IPSJ-HCI21195022.pdf"},"date":[{"dateType":"Available","dateValue":"2023-11-23"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-HCI21195022.pdf","filesize":[{"value":"3.9 MB"}],"mimetype":"application/pdf","priceinfo":[{"tax":["include_tax"],"price":"660","billingrole":"5"},{"tax":["include_tax"],"price":"330","billingrole":"6"},{"tax":["include_tax"],"price":"0","billingrole":"33"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"cad0ace9-0f99-4518-81ec-0b52beabc1e1","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2021 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"高原, 周平"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"植野, 彰規"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"岩井, 将行"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA1221543X","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":"2188-8760","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"呼吸数はバイタルサインにおける重要な指標であり，敗血症や呼吸器疾患の症状悪化に関する予兆を提供することが知られている．医療機関では気管チューブにカプノメータを装着することで呼吸状態を直接監視することを可能としているが，この手法を一般家庭に広く普及させることは現実的ではない．日常生活の中で呼吸数を安価かつ容易に取得する手法として，スマートウォッチを活用した光電式容積脈波信号や心電図信号による間接的な呼吸数推定への関心が高まっている．しかし，こうした間接的な計測では，装着者の行動に起因するノイズが発生しやすく，呼吸を誤認識しやすいという課題がある．そこで我々は，非侵襲的な呼吸状態の直接的な計測手段として，安価で小型な MOx センサに注目した．本研究では MOx センサを搭載したヘッドセット型呼吸計測デバイスを提案した．その結果，水素濃度（本来は総揮発性有機化合物濃度および二酸化炭素相当量濃度を推定するために検出される信号）の Raw 信号から呼吸数推定に成功した．評価実験では，安静状態，20BPM および 30BPM の意識的な呼吸運動の計 3 種類の状況における呼吸数を計測し，MAE が 0.11BPM，認識率が 99% という高い精度を実現することができた．これらの結果は，呼吸数をモニタリング可能な新たなウェアラブルデバイスの開発に応用できると考えられる．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"7","bibliographic_titles":[{"bibliographic_title":"研究報告ヒューマンコンピュータインタラクション（HCI）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2021-11-23","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"22","bibliographicVolumeNumber":"2021-HCI-195"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":213927,"updated":"2025-01-19T16:58:03.235307+00:00","links":{}}