並列タイトル等Detection of abnormal operations during surgery via SEMG / EEG and its applications to prevention of malpractice
タイトル（掲載誌）科学研究費助成事業（科学研究費補助金）研究成果報告書
一般注記type:Working Paper
研究成果の概要 (和文) : 本研究では、内視鏡手術の手技の中でも難易度が高い手術糸の結紮操作を7つの手技に分類し、鉗子の操作量から手術手技を自動識別し、識別された糸結び手技に対して、術者の表面筋電位(SEMG)に基づき、自己組織化マップを用いて通常とは異なる特異操作の判別を行い、特異操作時に術者に警告するシステムを構築した。また、術者の脳波(EEG)を測定することにより、医療ミスや患者の容態急変時の感情の変化や医師の心情状態の特異性を検出することを目的に、基礎実験として、脳波による(1)驚き感情の検出、(2)精神的疲労の観測を試みた。
研究成果の概要 (英文) : In this research, an automatic identification of a surgical operation in endoscopic surgery and distinction of the abnormality of the identified surgical operation were executed. Surgical operation of ligation was divided into seven operations, and on the basis of the threshold criteria for the amount of operations of forceps, a surgical operation was identified as one of them. Next, when the surgical operation was identified as a thread knotting, the operation of thread knotting was classified as either normal or abnormal using a self-organizing map based on operator's surface electromyogram:SEMG. Finally, a warning system to prevent malpractice by presenting detection of the abnormal operation to surgeon was constructed. In addition, detection of (1)surprise feeling and (2)mental fatigue via electroencephalogram:EEG was tried as a basic experiment for the purpose of detecting change of feeling of a doctor at the time of sudden condition change of a patie nt and detecting abnorlity of a doctor's feelings during the long time surgical operation.
一次資料へのリンクURLhttps://hosei.ecats-library.jp//da/repository/00010009/14_kaken_2012_ishii_chiharu.pdf
連携機関・データベース国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）