{"created":"2023-06-19T11:44:18.622653+00:00","id":14189,"links":{},"metadata":{"_buckets":{"deposit":"2e06ce38-102e-4cec-947b-e4650f2f3478"},"_deposit":{"created_by":15,"id":"14189","owners":[15],"pid":{"revision_id":0,"type":"depid","value":"14189"},"status":"published"},"_oai":{"id":"oai:mie-u.repo.nii.ac.jp:00014189","sets":["366:640:641:1289"]},"author_link":["46473","46471"],"item_7_biblio_info_6":{"attribute_name":"書誌情報","attribute_value_mlt":[{"bibliographicIssueDates":{"bibliographicIssueDate":"2021-03","bibliographicIssueDateType":"Issued"}}]},"item_7_contributor_61":{"attribute_name":"修士論文指導教員","attribute_value_mlt":[{"contributorNames":[{"contributorName":"加藤, 典彦","lang":"ja"}],"nameIdentifiers":[{"nameIdentifier":"46473","nameIdentifierScheme":"WEKO"}]}]},"item_7_description_14":{"attribute_name":"フォーマット","attribute_value_mlt":[{"subitem_description":"application/pdf","subitem_description_type":"Other"}]},"item_7_description_4":{"attribute_name":"抄録","attribute_value_mlt":[{"subitem_description":"Patients with SMID (severe motor and intellectual disabilities) have severe limb disorders and severe mental disabilities. More than half of their deaths are due to respiratory disorders. Therefore, it is important to improve respiratory function by respiratory rehabilitation. The effect of respiratory rehabilitation is generally determined by measuring respiratory function such as tidal volume and respiratory rate with an existing respiratory function measuring device, an expired gas analyzer. However, the equipment is expensive and requires direct contact, making it difficult to introduce it in facilities for patients with SMID. Therefore, in this study, we develop a respiratory function measurement system for determining the respiratory rehabilitation effect of patients with SMID inexpensively and non-contactly.\nIn previous studies, various methods for measuring respiratory function without contact have been researched and developed. The method using a depth camera made it possible to measure the respiratory volume waveform of healthy persons inexpensively and non-contactly. On the other hand, in order to measure respiratory function, it is necessary to detect each respiratory phase of maximum inspiratory phase and maximum expiratory phase from the respiratory volume waveform by respiratory waveform analysis. However, in patients with respiratory illness, it is difficult to detect each respiratory phase due to unstable breathing. In addition, in patients with SMID, the body trembles and moves depending on the symptoms, which makes it more difficult to detect each respiratory phase. In previous studies for patients with respiratory diseases, it was possible to distinguish between breathing and artifacts by limiting the range of respiratory abnormalities. However, patients with SMID have a wide range of respiratory abnormalities that vary from person to person.\nTherefore, in this study, we proposed a respiratory waveform analysis method that enables measurement of respiratory function in patients with SMID by using a depth camera, taking into account the tremors and movements of their bodies and their wide range of abnormal breathing. In the proposed method, the criteria for discriminating between body tremor / movement and breathing are set based on the magnitude of abdominal displacement and breathing time.\nAs a result, a simultaneous measurement experiment using a expired gas analyzer and the developed system showed sufficient performance to evaluate the respiratory rehabilitation effect in respiratory rate and minute apnea time. In addition, the experiment showed a correlation between the expired gas analyzer and the developed systemin minute volume, and showed that it is possible to measure abnormal respiratory rhythm.","subitem_description_type":"Abstract"}]},"item_7_description_5":{"attribute_name":"内容記述","attribute_value_mlt":[{"subitem_description":"三重大学大学院 工学研究科 機械工学専攻 知能ロボティクス研究室","subitem_description_type":"Other"},{"subitem_description":"87p","subitem_description_type":"Other"}]},"item_7_publisher_30":{"attribute_name":"出版者","attribute_value_mlt":[{"subitem_publisher":"三重大学"}]},"item_7_text_31":{"attribute_name":"出版者（ヨミ）","attribute_value_mlt":[{"subitem_text_value":"ミエダイガク"}]},"item_7_text_65":{"attribute_name":"資源タイプ（三重大）","attribute_value_mlt":[{"subitem_text_value":"Master's Thesis / 修士論文"}]},"item_7_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":"小澄, 怜未","creatorNameLang":"ja"},{"creatorName":"コスミ, レミ","creatorNameLang":"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":"2021-09-09"}],"displaytype":"detail","filename":"2020ME0013.pdf","filesize":[{"value":"5.5 MB"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"label":"2020ME0013","url":"https://mie-u.repo.nii.ac.jp/record/14189/files/2020ME0013.pdf"},"version_id":"019ccb15-4dac-4811-996a-8c2f4ab0dd50"}]},"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":"thesis","resourceuri":"http://purl.org/coar/resource_type/c_46ec"}]},"item_title":"重症心身障害児者の非接触呼吸機能測定における呼吸波形解析手法の開発","item_titles":{"attribute_name":"タイトル","attribute_value_mlt":[{"subitem_title":"重症心身障害児者の非接触呼吸機能測定における呼吸波形解析手法の開発","subitem_title_language":"ja"},{"subitem_title":"Respiratory Waveform Analysis Method for Non-contact Respiratory Function Measurement of Patients with SMID","subitem_title_language":"en"}]},"item_type_id":"7","owner":"15","path":["1289"],"pubdate":{"attribute_name":"PubDate","attribute_value":"2021-09-09"},"publish_date":"2021-09-09","publish_status":"0","recid":"14189","relation_version_is_last":true,"title":["重症心身障害児者の非接触呼吸機能測定における呼吸波形解析手法の開発"],"weko_creator_id":"15","weko_shared_id":-1},"updated":"2023-12-01T01:38:57.740686+00:00"}