{"product_id":"ieej-mag20042mbe20027","title":"Auto anomaly detection in continuous tissue circulation monitoring using wearable PPG device","description":"\u003cp\u003e\u003cstrong\u003eカテゴリ: \u003c\/strong\u003e研究会(論文単位)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e論文No: \u003c\/strong\u003eMAG20042,MBE20027\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eグループ名: \u003c\/strong\u003e【A】基礎・材料・共通部門 マグネティックス\/【C】電子・情報・システム部門 医用・生体工学合同研究会\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e発行日: \u003c\/strong\u003e2020\/03\/19\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eタイトル(英語): \u003c\/strong\u003eAuto anomaly detection in continuous tissue circulation monitoring using wearable PPG device\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名: \u003c\/strong\u003e顧 剣(東京大学),富岡 容子(東大病院　),斎藤 逸郎(東京大学),岡崎 睦(東大病院　),染谷 隆夫(東京大学),関野 正樹(東京大学)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e著者名(英語): \u003c\/strong\u003eJian Gu(Graduate school of engineering, Department of Electrical Engineering and information systems, University of Tokyo),Yoko Tomioka(Department of Plastic and reconstructive Surgery, University of Tokyo),Itsuro Saito(Department of Biomedical Engineering, University of Tokyo),Mutsumi Okazaki(Department of Plastic and reconstructive Surgery, University of Tokyo),Takao Someya(Graduate school of engineering, Department of Electrical Engineering and information systems, University of Tokyo),Masaki Sekino(Graduate school of engineering, Department of Electrical Engineering and information systems, University of Tokyo)\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(日本語): \u003c\/strong\u003e組織血流障害変化を自動的に判断できるアルゴリズムを開発し、臨床試験における正確率を計算しました。\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e要約(英語): \u003c\/strong\u003eTissue circulation monitoring plays an important role in early detection of compromised circulation after surgery. However, algorithm of circulation judgement using flexible PPG sensors is still challenging, because conventional methods such as statistical verification and auto encoding required huge abnormal data to reduce the effect of inter-individual variability. In this study, we developed an algorithm that detects the change of circulation condition automatically with limited reference samples. The raw PPG signal is measured from patient for one week. In 27 trails, only one of which was reported to show a change from normal circulation to compromised circulation by doctors. The algorithm calculates the distribution function of the first three hours as a reference and the rest as the experimental data. The Kolmogorov?Smirnov statistic D for a given true cumulative distribution function is used for verifying the difference between distributions. The result showed that the sensitivity and specificity of the auto-judge algorithm is 74.9% and 87.3%. The correctness is still insufficient because the algorithm could not detect compromised circulation occurred within three hours after the operation. Since the doctors would check tissue circulation frequently soon after the operation, our algorithm is useful for monitoring in one-week postoperative period.\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e原稿種別: \u003c\/strong\u003e英語\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003ePDFファイルサイズ: \u003c\/strong\u003e2,141 Kバイト\u003c\/p\u003e","brand":"IEEJ-PDF","offers":[{"title":"PDFダウンロード（一般価格330円\/会員価格220円） \/ A4 \/ 5","offer_id":46393267912943,"sku":"IEEJ-MAG20042MBE20027-PDF","price":330.0,"currency_code":"JPY","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0718\/9512\/2159\/files\/IEEJ-PDF_cf8498bc-1a7e-4f40-a23b-cb8ab5a9540f.png?v=1744685955","url":"https:\/\/ieej.bookpark.ne.jp\/products\/ieej-mag20042mbe20027","provider":"電気学会 電子図書館","version":"1.0","type":"link"}