{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00232952","sets":["1164:3368:11473:11516"]},"path":["11516"],"owner":"44499","recid":"232952","title":["CPR（心肺蘇生法）姿勢分析システムを用いた適切なCPR姿勢の解明"],"pubdate":{"attribute_name":"公開日","attribute_value":"2024-02-26"},"_buckets":{"deposit":"7e01c7a0-3584-43dd-8a1a-01b11d6cfc7b"},"_deposit":{"id":"232952","pid":{"type":"depid","value":"232952","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"CPR（心肺蘇生法）姿勢分析システムを用いた適切なCPR姿勢の解明","author_link":["631677","631678","631679"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"CPR（心肺蘇生法）姿勢分析システムを用いた適切なCPR姿勢の解明"},{"subitem_title":"Elucidation of appropriate CPR(cardiopulmonary resuscitation) posture using CPR posture analysis system","subitem_title_language":"en"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"若手の会","subitem_subject_scheme":"Other"}]},"item_type_id":"4","publish_date":"2024-02-26","item_4_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"釧路公立大学"},{"subitem_text_value":"釧路公立大学"},{"subitem_text_value":"釧路公立大学"}]},"item_4_text_4":{"attribute_name":"著者所属(英)","attribute_value_mlt":[{"subitem_text_value":"Kushiro Public University","subitem_text_language":"en"},{"subitem_text_value":"Kushiro Public University","subitem_text_language":"en"},{"subitem_text_value":"Kushiro Public 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/232952/files/IPSJ-IS24167006.pdf","label":"IPSJ-IS24167006.pdf"},"date":[{"dateType":"Available","dateValue":"2026-02-26"}],"format":"application/pdf","billing":["billing_file"],"filename":"IPSJ-IS24167006.pdf","filesize":[{"value":"1.0 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":"38"},{"tax":["include_tax"],"price":"0","billingrole":"44"}],"accessrole":"open_date","version_id":"c0cee812-9a70-4336-812b-e9a8710377b6","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2024 by the Information Processing Society of Japan"}]},"item_4_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"山上, 泰樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"井上, 澪南"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"皆月, 昭則"}],"nameIdentifiers":[{}]}]},"item_4_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AA11253943","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":"2188-8809","subitem_source_identifier_type":"ISSN"}]},"item_4_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"心停止というわたしたちの日常に潜むリスクに対抗する手段として，心肺蘇生法（以下 CPR）という救命手法がある．CPR は心停止という日常の脅威に対する唯一の対抗策であるが，その手法や訓練法は科学的根拠が不十分という課題があった．本研究では Azure Kinect DK を使用し，CPR における胸骨圧迫時の姿勢を Body tracking によって分析する “CPR 姿勢分析システム”を開発した．本研究にて開発した CPR 訓練姿勢分析シミュレーター（以下 CPR 訓練システム）は Azure Kinect DK を用いて，正面・側面の 2 方向から，CPR における胸骨圧迫時の上肢・下肢の姿勢の関節角度を取得し可視化した．また，姿勢を意識させる CPR 訓練システムの開発によって，胸骨圧迫時の姿勢と正確な圧迫（除圧を含む）の客観的評価を可能にした．本研究において行った計 150 名（一般 120 名，プロフェッショナル 30 名）を対象とした全 4 回の実験から解明された知見ならびに，蓄積された実験データを用いて新たに開発した姿勢分析AIモジュールについて述べる．","subitem_description_type":"Other"}]},"item_4_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"8","bibliographic_titles":[{"bibliographic_title":"研究報告情報システムと社会環境（IS）"}],"bibliographicPageStart":"1","bibliographicIssueDates":{"bibliographicIssueDate":"2024-02-26","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"6","bibliographicVolumeNumber":"2024-IS-167"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":232952,"updated":"2025-01-19T10:15:55.979047+00:00","links":{},"created":"2025-01-19T01:34:06.951159+00:00"}