Author(s)

Chiharu Ishii^1*, Takanori Sato², Kaito Murano¹, Hideki Kawamura³

¹Department of Mechanical Engineering, Faculty of Science and Engineering, Hosei Universitty, Tokyo, Japan.
²Nihon Kohden Corporation, Tokyo, Japan.
³Gastroenterological Surgery, Graduate School of Medicine, Hokkaido University, Sapporo, Japan.

Laparoscopic surgery is a difficult surgical procedure compared with laparotomy. In particular, considerable skills and care are required for thread knotting in laparoscopic surgery. In this paper, a method for automatic identification of a laparoscopic surgical procedure for ligation and online distinction of an abnormality, defined as any unusual manipulation, in the identified surgical procedure is proposed. Ligation is divided into several individual surgical procedures, and on the basis of the threshold criteria, each surgical procedure is identified. Next, the identified surgical procedure, thread knotting, is classified as either normal or abnormal using a self-organizing map. Finally, to reduce surgical error, an abnormality warning system which warns detection of an unusual manipulation in the surgical procedure to the operator is constructed.

Automatic Identification of Surgical Procedure, Distinction of Abnormal Manipulation in Surgical Procedure, Abnormality Warning System, Surface Electromyogram (SEMG), Self-Organizing Map (SOM)

Ishii, C. , Sato, T. , Murano, K. and Kawamura, H. (2015) Automatic Identification for Laparoscopic Surgical Procedure for Ligation and Online Distinction of Abnormal Manipulation for Thread Knotting. International Journal of Clinical Medicine, 6, 887-898. doi: 10.4236/ijcm.2015.612116.