表面筋電位を用いた手術手技に対する特異操作の判別手法

カテゴリ: 論文誌(論文単位)

グループ名: 【D】産業応用部門

発行日: 2012/02/01

タイトル(英語): Distinction of Abnormality of Surgical Operation on the Basis of Surface EMG Signals

著者名: 中屋　友佑（工学院大学），石井　千春（法政大学），中茎　隆（工学院大学），西谷　要介（工学院大学），疋田　光孝（工学院大学）

著者名(英語): Yusuke Nakaya (Kogakuin University), Chiharu Ishii (Hosei University), Takashi Nakakuki (Kogakuin University), Yosuke Nishitani (Kogakuin University), Mitsutaka Hikita (Kogakuin University)

キーワード: 表面筋電位，特異操作判別，自己組織化マップ，手術手技　　surface EMG，distinction of singularity in operation，self-organizing map，surgical operation

要約(英語): In this paper, a novel method for automatic identification of a surgical operation and on-line recognition of the singularity of the identified surgical operation is proposed. Suturing is divided into six operations. The features of the operation are extracted from the measurements of the movement of the forceps, and then, on the basis of the threshold criteria for the six operations, a surgical operation is identified as one of the six operations. Next, the features of any singularity of operation are extracted from operator's surface electromyogram signals, and the identified surgical operation is classified as either normal or singular using a self-organizing map. Using the built laparoscopic-surgery simulator with two forceps, the identification of each surgical operation and the distinction of the singularity of the identified surgical operation were carried out for a specific surgical operation, namely, insertion of a needle during suturing. Each surgical operation in suturing could be identified with more than 80% accuracy, and the singularity of the surgical operation of insertion could be distinguished with approximately 80% accuracy on an average. The experimental results showed the effectiveness of the proposed method.

本誌: 電気学会論文誌D（産業応用部門誌） Vol.132 No.2 （2012） 特集：J-RAIL 2010

本誌掲載ページ: 241-249 p

原稿種別: 論文／日本語

電子版へのリンク: https://www.jstage.jst.go.jp/article/ieejias/132/2/132_2_241/_article/-char/ja/