{"created":"2025-01-14T00:39:35.466604+00:00","id":2011606,"links":{},"metadata":{"_buckets":{"deposit":"31f664dd-65c2-41c6-8853-4351f2378370"},"_deposit":{"created_by":7,"id":"2011606","owners":[7],"pid":{"revision_id":0,"type":"depid","value":"2011606"},"status":"published"},"_oai":{"id":"oai:tokushima-u.repo.nii.ac.jp:02011606","sets":["1713853213384:1713853295607"]},"author_link":["1218"],"control_number":"2011606","item_10001_biblio_info_7":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2022-02-21","bibliographicIssueDateType":"Issued"},"bibliographicIssueNumber":"4","bibliographicPageStart":"2242","bibliographicVolumeNumber":"12","bibliographic_titles":[{"bibliographic_title":"Applied Sciences","bibliographic_titleLang":"en"}]}]},"item_10001_description_5":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"The definitive diagnosis of obstructive sleep apnea syndrome (OSAS) is made using an overnight polysomnography (PSG) test. This test requires that a patient wears multiple measurement sensors during an overnight hospitalization. However, this setup imposes physical constraints and a heavy burden on the patient. Recent studies have reported on another technique for conducting OSAS screening based on snoring/breathing episodes (SBEs) extracted from recorded data acquired by a noncontact microphone. However, SBEs have a high dynamic range and are barely audible at intensities >90 dB. A method is needed to detect SBEs even in low-signal-to-noise-ratio (SNR) environments. Therefore, we developed a method for the automatic detection of low-intensity SBEs using an artificial neural network (ANN). However, when considering its practical use, this method required further improvement in terms of detection accuracy and speed. To accomplish this, we propose in this study a new method to detect low SBEs based on neural activity pattern (NAP)-based cepstral coefficients (NAPCC) and ANN classifiers. Comparison results of the leave-one-out cross-validation demonstrated that our proposed method is superior to previous methods for the classification of SBEs and non-SBEs, even in low-SNR conditions (accuracy: 85.99 ± 5.69% vs. 75.64 ± 18.8%).","subitem_description_language":"en","subitem_description_type":"Abstract"}]},"item_10001_publisher_8":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"MDPI","subitem_publisher_language":"en"}]},"item_10001_rights_15":{"attribute_name":"権利情報","attribute_value_mlt":[{"subitem_rights":"This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).","subitem_rights_language":"en"}]},"item_10001_source_id_9":{"attribute_name":"収録物ID","attribute_value_mlt":[{"subitem_source_identifier":"20763417","subitem_source_identifier_type":"ISSN"}]},"item_10001_version_type_20":{"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_1715043197608":{"attribute_name":"アクセス権","attribute_value_mlt":[{"subitem_access_right":"open access"}]},"item_1722929371688":{"attribute_name":"出版社版DOI","attribute_value_mlt":[{"subitem_relation_name":[{"subitem_relation_name_language":"ja","subitem_relation_name_text":"10.3390/app12042242"}],"subitem_relation_type_id":{"subitem_relation_type_id_text":"https://doi.org/10.3390/app12042242","subitem_relation_type_select":"DOI"}}]},"item_1723180141928":{"attribute_name":"EID","attribute_value_mlt":[{"subitem_identifier_type":"URI","subitem_identifier_uri":"402181"}]},"item_creator":{"attribute_name":"著者","attribute_type":"creator","attribute_value_mlt":[{"creatorNames":[{"creatorName":"ハマベ, ケンジ","creatorNameLang":"ja"},{"creatorName":"ハマベ, ケンジ","creatorNameLang":"ja-Kana"},{"creatorName":"Hamabe, Kenji","creatorNameLang":"en"}]},{"creatorAffiliations":[{"affiliationNameIdentifiers":[{"affiliationNameIdentifier":"","affiliationNameIdentifierScheme":"ISNI","affiliationNameIdentifierURI":"http://www.isni.org/isni/"}],"affiliationNames":[{"affiliationName":"","affiliationNameLang":"ja"}]}],"creatorNames":[{"creatorName":"榎本, 崇宏","creatorNameLang":"ja"},{"creatorName":"エモト, タカヒロ","creatorNameLang":"ja-Kana"},{"creatorName":"Emoto, Takahiro","creatorNameLang":"en"}],"familyNames":[{"familyName":"榎本","familyNameLang":"ja"},{"familyName":"エモト","familyNameLang":"ja-Kana"},{"familyName":"Emoto","familyNameLang":"en"}],"givenNames":[{"givenName":"崇宏","givenNameLang":"ja"},{"givenName":"タカヒロ","givenNameLang":"ja-Kana"},{"givenName":"Takahiro","givenNameLang":"en"}],"nameIdentifiers":[{"nameIdentifier":"1218","nameIdentifierScheme":"WEKO"},{"nameIdentifier":"74198/profile-ja.html","nameIdentifierScheme":"徳島大学 教育研究者総覧","nameIdentifierURI":"http://pub2.db.tokushima-u.ac.jp/ERD/person/74198/profile-ja.html"},{"nameIdentifier":"90418989","nameIdentifierScheme":"e-Rad","nameIdentifierURI":"https://nrid.nii.ac.jp/ja/search/?qm=90418989"}]},{"creatorNames":[{"creatorName":"陣内, 自治","creatorNameLang":"ja"},{"creatorName":"ジンノウチ, オサム","creatorNameLang":"ja-Kana"},{"creatorName":"Jinnouchi, Osamu","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"戸田, 直紀","creatorNameLang":"ja"},{"creatorName":"トダ, ナオキ","creatorNameLang":"ja-Kana"},{"creatorName":"Toda, Naoki","creatorNameLang":"en"}]},{"creatorNames":[{"creatorName":"カワタ, イクジ","creatorNameLang":"ja"},{"creatorName":"カワタ, イクジ","creatorNameLang":"ja-Kana"},{"creatorName":"Kawata, Ikuji","creatorNameLang":"en"}]}]},"item_files":{"attribute_name":"ファイル情報","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2024-01-29"}],"displaytype":"detail","filename":"app_12_4_2242.pdf","filesize":[{"value":"1.33 MB"}],"format":"application/pdf","licensetype":"license_0","mimetype":"application/pdf","url":{"objectType":"fulltext","url":"https://tokushima-u.repo.nii.ac.jp/record/2011606/files/app_12_4_2242.pdf"},"version_id":"081fb706-fe69-40af-8ed6-3397f1d04faa"}]},"item_keyword":{"attribute_name":"キーワード","attribute_value_mlt":[{"subitem_subject":"obstructive sleep apnea syndrome","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"auditory property","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"polysomnography","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"artificial neural network","subitem_subject_language":"en","subitem_subject_scheme":"Other"},{"subitem_subject":"snoring/breathing episode","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":"Auditory Property-Based Features and Artificial Neural Network Classifiers for the Automatic Detection of Low-Intensity Snoring/Breathing Episodes","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"Auditory Property-Based Features and Artificial Neural Network Classifiers for the Automatic Detection of Low-Intensity Snoring/Breathing Episodes","subitem_title_language":"en"}]},"item_type_id":"40001","owner":"7","path":["1713853295607"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2024-01-29"},"publish_date":"2024-01-29","publish_status":"0","recid":"2011606","relation_version_is_last":true,"title":["Auditory Property-Based Features and Artificial Neural Network Classifiers for the Automatic Detection of Low-Intensity Snoring/Breathing Episodes"],"weko_creator_id":"7","weko_shared_id":-1},"updated":"2025-01-31T06:28:47.406845+00:00"}