{"metadata":{"_oai":{"id":"oai:ipsj.ixsq.nii.ac.jp:00221196","sets":["6504:11035:11042"]},"path":["11042"],"owner":"44499","recid":"221196","title":["低S/N心電波形からR波を検出する深層学習モデルのデータ拡張手法の提案"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-02-17"},"_buckets":{"deposit":"f4fdc2d9-dc8a-4bd0-8260-cdd17ff05b5c"},"_deposit":{"id":"221196","pid":{"type":"depid","value":"221196","revision_id":0},"owners":[44499],"status":"published","created_by":44499},"item_title":"低S/N心電波形からR波を検出する深層学習モデルのデータ拡張手法の提案","author_link":["578974","578978","578977","578976","578979","578975"],"item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"低S/N心電波形からR波を検出する深層学習モデルのデータ拡張手法の提案"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"ネットワーク","subitem_subject_scheme":"Other"}]},"item_type_id":"22","publish_date":"2022-02-17","item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"item_22_text_3":{"attribute_name":"著者所属","attribute_value_mlt":[{"subitem_text_value":"東海理化電機製作所"},{"subitem_text_value":"東海理化電機製作所"},{"subitem_text_value":"東海理化電機製作所"},{"subitem_text_value":"東海理化電機製作所"},{"subitem_text_value":"名城大"},{"subitem_text_value":"東海理化電機製作所"}]},"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/221196/files/IPSJ-Z84-2E-06.pdf","label":"IPSJ-Z84-2E-06.pdf"},"date":[{"dateType":"Available","dateValue":"2022-10-22"}],"format":"application/pdf","filename":"IPSJ-Z84-2E-06.pdf","filesize":[{"value":"400.7 kB"}],"mimetype":"application/pdf","accessrole":"open_date","version_id":"623af69f-6e37-4086-a661-51d6458fbab3","displaytype":"detail","licensetype":"license_note","license_note":"Copyright (c) 2022 by the Information Processing Society of Japan"}]},"item_22_creator_5":{"attribute_name":"著者名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"廣田, 哲也"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"藤田, 隆吾"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"欅田, 正樹"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"原田, 敦"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山田, 啓一"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"山中, 雄介"}],"nameIdentifiers":[{}]}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourceuri":"http://purl.org/coar/resource_type/c_5794","resourcetype":"conference paper"}]},"item_22_source_id_9":{"attribute_name":"書誌レコードID","attribute_value_mlt":[{"subitem_source_identifier":"AN00349328","subitem_source_identifier_type":"NCID"}]},"item_22_description_7":{"attribute_name":"論文抄録","attribute_value_mlt":[{"subitem_description":"近年、依然として多くの自動車事故が発生しているが、そのうちドライバの体調急変による交通事故を防止するため、安全運転支援に関わる研究が多く行われている。我々はハンドルを握ったドライバから非接触型心電センサにより心電波形を取得し、深層学習でノイズを除去して心拍（R波）を高精度で検出する手法を開発した。しかし、深層学習モデル訓練用の心電波形の取得コストが高く、多くの被験者から十分な量のデータを取得するのが難しいという問題がある。本稿では、少量の心電波形から訓練用の心電波形データセットを作成するデータ拡張手法と、その手法を適用した際の検出性能について報告する。","subitem_description_type":"Other"}]},"item_22_biblio_info_10":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicPageEnd":"44","bibliographic_titles":[{"bibliographic_title":"第84回全国大会講演論文集"}],"bibliographicPageStart":"43","bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-17","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"1","bibliographicVolumeNumber":"2022"}]},"relation_version_is_last":true,"weko_creator_id":"44499"},"id":221196,"updated":"2025-01-19T14:15:36.785084+00:00","links":{},"created":"2025-01-19T01:21:12.429189+00:00"}