{"created":"2023-05-15T12:00:52.596589+00:00","id":7860,"links":{},"metadata":{"_buckets":{"deposit":"75a7c33e-6777-4f9a-a0df-b0204a529e43"},"_deposit":{"created_by":14,"id":"7860","owners":[14],"pid":{"revision_id":0,"type":"depid","value":"7860"},"status":"published"},"_oai":{"id":"oai:kyutech.repo.nii.ac.jp:00007860","sets":["8:9"]},"author_link":["34526","34527","15968","402","34530","34531"],"item_1689815586683":{"attribute_name":"CRID","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://cir.nii.ac.jp/crid/1390007128168714112","subitem_relation_type_select":"URI"}}]},"item_21_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-07-06","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"2","bibliographicPageEnd":"100","bibliographicPageStart":"95","bibliographicVolumeNumber":"38","bibliographic_titles":[{"bibliographic_title":"医用画像情報学会雑誌","bibliographic_titleLang":"ja"},{"bibliographic_title":"Medical Imaging and Information Sciences","bibliographic_titleLang":"en"}]}]},"item_21_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Respiratory disease is a serious illness that accounts for three of the top ten causes of death in the world, and approximately eight million people died worldwide each year. Early detection and early treatment are important for the prevention of illness due to these diseases. Currently, auscultation is performed for the diagnosis of respiratory diseases, however there is a problem that quantitative diagnosis is difficult. Therefore, in this paper, we propose a new automatic classification method of respiratory sounds to support the diagnosis of respiratory diseases on auscultation. In the proposed method, respiratory sound data is converted into a spectrogram image by applying the short-time Fourier transform. Then, we apply HPSS (Harmonic/Percussive Sound Separation) algorithm to the respiratory sound spectrogram to separate it into a harmonic spectrogram and a percussive spectrogram. The three generated spectrograms are used for classification of respiratory sounds by CNN (Convolutional Neural Network) and SVM (Support Vector Machine) classifiers. Our proposed method obtained superior classification performance compared to the case without applying HPSS and satisfactory results are obtained.","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_21_description_60":{"attribute_name":"資源タイプ","attribute_value_mlt":[{"subitem_description":"Journal Article","subitem_description_type":"Other"}]},"item_21_publisher_7":{"attribute_name":"出版社","attribute_value_mlt":[{"subitem_publisher":"医用画像情報学会","subitem_publisher_language":"ja"}]},"item_21_relation_12":{"attribute_name":"DOI","attribute_value_mlt":[{"subitem_relation_type":"isIdenticalTo","subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.11318/mii.38.95","subitem_relation_type_select":"DOI"}}]},"item_21_rights_13":{"attribute_name":"著作権関連情報","attribute_value_mlt":[{"subitem_rights":"Copyright (c) 2021 医用画像情報学会"}]},"item_21_select_59":{"attribute_name":"査読の有無","attribute_value_mlt":[{"subitem_select_item":"yes"}]},"item_21_source_id_10":{"attribute_name":"NCID","attribute_value_mlt":[{"subitem_source_identifier":"AN10156808","subitem_source_identifier_type":"NCID"}]},"item_21_source_id_8":{"attribute_name":"ISSN","attribute_value_mlt":[{"subitem_source_identifier":"1880-4977","subitem_source_identifier_type":"EISSN"},{"subitem_source_identifier":"0910-1543","subitem_source_identifier_type":"PISSN"}]},"item_21_subject_16":{"attribute_name":"日本十進分類法","attribute_value_mlt":[{"subitem_subject":"492","subitem_subject_scheme":"NDC"}]},"item_21_text_63":{"attribute_name":"連携ID","attribute_value_mlt":[{"subitem_text_value":"10838"}]},"item_21_version_type_58":{"attribute_name":"出版タイプ","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":"丸橋, 優生","creatorNameLang":"ja"},{"creatorName":"Marubashi, Yuki","creatorNameLang":"en"}],"nameIdentifiers":[{}]},{"creatorAlternatives":[{"creatorAlternative":"Asatani, Naoki","creatorAlternativeLang":"en"}],"creatorNames":[{"creatorName":"浅谷, 尚希","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorAffiliations":[{"affiliationNames":[{}]}],"creatorNames":[{"creatorName":"Lu, Huimin","creatorNameLang":"en"},{"creatorName":"陸, 慧敏","creatorNameLang":"ja"},{"creatorName":"リク, ケイビン","creatorNameLang":"ja-Kana"}],"familyNames":[{},{},{}],"givenNames":[{},{},{}],"nameIdentifiers":[{},{},{},{},{}]},{"creatorAffiliations":[{"affiliationNames":[{}]}],"creatorAlternatives":[{"creatorAlternative":"Kim, Hyungseop","creatorAlternativeLang":"en"},{"creatorAlternative":"金, 亨燮","creatorAlternativeLang":"ja"}],"creatorNames":[{"creatorName":"Kamiya, Tohru","creatorNameLang":"en"},{"creatorName":"神谷, 亨","creatorNameLang":"ja"},{"creatorName":"カミヤ, トオル","creatorNameLang":"ja-Kana"}],"nameIdentifiers":[{},{},{},{}]},{"creatorAlternatives":[{"creatorAlternative":"Mabu, Shingo","creatorAlternativeLang":"en"}],"creatorNames":[{"creatorName":"間普, 真吾","creatorNameLang":"ja"}],"nameIdentifiers":[{}]},{"creatorNames":[{"creatorName":"木戸, 尚治","creatorNameLang":"ja"},{"creatorName":"Kido, Shoji","creatorNameLang":"en"}],"nameIdentifiers":[{}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_date","date":[{"dateType":"Available","dateValue":"2023-02-01"}],"displaytype":"detail","filename":"LaSEINE-2021_009.pdf","filesize":[{"value":"2.9 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"LaSEINE-2021_009.pdf","url":"https://kyutech.repo.nii.ac.jp/record/7860/files/LaSEINE-2021_009.pdf"},"version_id":"8c48c0b5-abb6-4ae0-a722-c3f3998a994e"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"Respiratory Sounds","subitem_subject_scheme":"Other"},{"subitem_subject":"Computer Aided Diagnosis","subitem_subject_scheme":"Other"},{"subitem_subject":"Short-Time Fourier Transform","subitem_subject_scheme":"Other"},{"subitem_subject":"Harmonic/Percussive Sound Separation","subitem_subject_scheme":"Other"},{"subitem_subject":"Deep Learning","subitem_subject_scheme":"Other"},{"subitem_subject":"CNN","subitem_subject_scheme":"Other"},{"subitem_subject":"SVM","subitem_subject_scheme":"Other"}]},"item_language":{"attribute_name":"言語","attribute_value_mlt":[{"subitem_language":"jpn"}]},"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":"HPSSを用いた呼吸音の自動分類","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"HPSSを用いた呼吸音の自動分類","subitem_title_language":"ja"},{"subitem_title":"Automatic Classification of Respiratory Sounds using HPSS","subitem_title_language":"en"}]},"item_type_id":"21","owner":"14","path":["9"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2023-02-01"},"publish_date":"2023-02-01","publish_status":"0","recid":"7860","relation_version_is_last":true,"title":["HPSSを用いた呼吸音の自動分類"],"weko_creator_id":"14","weko_shared_id":-1},"updated":"2024-04-02T08:45:29.240329+00:00"}