{"created":"2023-06-19T10:43:52.288535+00:00","id":4218,"links":{},"metadata":{"_buckets":{"deposit":"932e71bb-7e51-4549-a5d5-4cb7fdb0a0c7"},"_deposit":{"created_by":11,"id":"4218","owners":[11],"pid":{"revision_id":0,"type":"depid","value":"4218"},"status":"published"},"_oai":{"id":"oai:shiga-med.repo.nii.ac.jp:00004218","sets":["30:200:201","30:211:212"]},"author_link":["8927","8311","8304","8307","9005","6474","7314"],"item_4_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-04-30","bibliographicIssueDateType":"Issued"},"bibliographicPageEnd":"89","bibliographicPageStart":"80","bibliographicVolumeNumber":"139","bibliographic_titles":[{},{"bibliographic_title":"Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology","bibliographic_titleLang":"en"}]}]},"item_4_creator_3":{"attribute_name":"著者別名","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"角, 幸頼"}],"nameIdentifiers":[{},{},{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"14202","affiliationNameIdentifierScheme":"kakenhi"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"KADOTANI, Hiroshi","creatorNameLang":"en"},{"creatorName":"角谷, 寛","creatorNameLang":"ja"},{"creatorName":"カドタニ, ヒロシ","creatorNameLang":"ja-Kana"}],"familyNames":[{"familyName":"KADOTANI","familyNameLang":"en"},{"familyName":"角谷","familyNameLang":"ja"},{"familyName":"カドタニ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Hiroshi","givenNameLang":"en"},{"givenName":"寛","givenNameLang":"ja"},{"givenName":"ヒロシ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{},{},{}]}]},"item_4_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"pdf","subitem_description_type":"Other"}]},"item_4_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Objective:\nEasily detecting patients with undiagnosed sleep apnea syndrome (SAS) requires a home-use SAS screening system. In this study, we validate a previously developed SAS screening methodology using a large clinical polysomnography (PSG) dataset (N = 938). ","subitem_description_type":"Abstract"},{"subitem_description":"Methods:\nWe combined R-R interval (RRI) and long short-term memory (LSTM), a type of recurrent neural networks, and created a model to discriminate respiratory conditions using the training dataset (N = 468). Its performance was validated using the validation dataset (N = 470). ","subitem_description_type":"Abstract"},{"subitem_description":"Results:\nOur method screened patients with severe SAS (apnea hypopnea index; AHI ≥ 30) with an area under the curve (AUC) of 0.92, a sensitivity of 0.80, and a specificity of 0.84. In addition, the model screened patients with moderate/severe SAS (AHI ≥ 15) with an AUC of 0.89, a sensitivity of 0.75, and a specificity of 0.87. ","subitem_description_type":"Abstract"},{"subitem_description":"Conclusions:\nOur method achieved high screening performance when applied to a large clinical dataset. ","subitem_description_type":"Abstract"},{"subitem_description":"Significance:\nOur method can help realize an easy-to-use SAS screening system because RRI data can be easily measured with a wearable heart rate sensor. It has been validated on a large dataset including subjects with various backgrounds and is expected to perform well in real-world clinical practice. ","subitem_description_type":"Abstract"}]},"item_4_description_42":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_4_publisher_32":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"Elsevier B.V. "}]},"item_4_relation_10":{"attribute_name":"PubMed番号","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"35569296","subitem_relation_type_select":"PMID"}}]},"item_4_relation_11":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_text":"10.1016/j.clinph.2022.04.012"}],"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.1016/j.clinph.2022.04.012","subitem_relation_type_select":"DOI"}}]},"item_4_rights_12":{"attribute_name":"権利","attribute_value_mlt":[{"subitem_rights":"© 2022 International Federation of Clinical Neurophysiology. Published by Elsevier B.V. All rights reserved. "}]},"item_4_source_id_7":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1872-8952","subitem_source_identifier_type":"ISSN"}]},"item_4_version_type_15":{"attribute_name":"著者版フラグ","attribute_value_mlt":[{"subitem_version_resource":"http://purl.org/coar/version/c_970fb48d4fbd8a85","subitem_version_type":"VoR"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"IWASAKI, Ayako"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"FUJIWARA, Koichi"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"NAKAYAMA, Chikao"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"SUMI, Yukiyoshi"}],"nameIdentifiers":[{},{},{}]},{"creatorNames":[{"creatorName":"KANO, Manabu"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"NAGAMOTO, Tetsuharu"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"14202","affiliationNameIdentifierScheme":"kakenhi"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"KADOTANI, Hiroshi","creatorNameLang":"en"},{"creatorName":"角谷, 寛","creatorNameLang":"ja"},{"creatorName":"カドタニ, ヒロシ","creatorNameLang":"ja-Kana"}],"familyNames":[{"familyName":"KADOTANI","familyNameLang":"en"},{"familyName":"角谷","familyNameLang":"ja"},{"familyName":"カドタニ","familyNameLang":"ja-Kana"}],"givenNames":[{"givenName":"Hiroshi","givenNameLang":"en"},{"givenName":"寛","givenNameLang":"ja"},{"givenName":"ヒロシ","givenNameLang":"ja-Kana"}],"nameIdentifiers":[{},{},{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2022-05-30"}],"displaytype":"detail","filename":"j.clinph.2022.04.012.pdf","filesize":[{"value":"1.6 MB"}],"format":"application/pdf","license_note":"This is an open access article under the CC BY-NC-ND license \n(http://creativecommons.org/licenses/by-nc-nd/4.0/).","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"j.clinph.2022.04.012","url":"https://shiga-med.repo.nii.ac.jp/record/4218/files/j.clinph.2022.04.012.pdf"},"version_id":"ed5b3ee7-67c5-41fb-bf8d-916351104274"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Sleep apnea syndrome","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Wearable sensor","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Machine learning","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Long short-term memory","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"Telemedicine","subitem_subject_language":"en","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"eng"}]},"item_resource_type":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"resourcetype":"journal article","resourceuri":"http://purl.org/coar/resource_type/c_6501"}]},"item_title":"R-R interval-based sleep apnea screening by a recurrent neural network in a large clinical polysomnography dataset.","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"R-R interval-based sleep apnea screening by a recurrent neural network in a large clinical polysomnography dataset."}]},"item_type_id":"4","owner":"11","path":["201","212"],"pubdate":{"attribute_name":"公開日","attribute_value":"2022-05-30"},"publish_date":"2022-05-30","publish_status":"0","recid":"4218","relation_version_is_last":true,"title":["R-R interval-based sleep apnea screening by a recurrent neural network in a large clinical polysomnography dataset."],"weko_creator_id":"11","weko_shared_id":-1},"updated":"2023-07-24T11:31:43.155569+00:00"}