Performing laparoscopic surgery requires several skills which have never been required for conventional open surgery, surgeons experience difficulties in learning and mastering these techniques. Various training methods and metrics have been developed in order to assess and improve surgeon’s operative abilities. While these training metrics are currently widely being used, skill evaluation methods are still far from being objective in the regular laparoscopic skill education. This paper proposes a methodology of defining a model to objectively evaluate surgical performance and skill expertise in the routine laparoscopic training course. Our approach is based on the processing of kinematic data describing the movements of surgeon’s upper limbs. An ultra-miniaturized wearable motion capture system (Waseda Bioinstrumentation system WB-3), therefore, has been developed to measure and analyze these movements. The skill evaluation model was trained by using the subjects’ motion features acquired from WB-3 system and further validated to classify the expertise levels of the subjects with different laparoscopic experience. An experiment for training fundamental laparoscopic psychomotor skill was elaborated by using laparoscopic box trainer. Preliminary results show that, the proposed methodology can be efficiently used both for quantitative assessment of surgical ability, and for the discrimination between expert surgeons and novices.
Global Robot Academia,Waseda University,3-4-1 Okubo,Shinjuku-ku,Tokyo,169-8555,Japan Department of Modern Mechanical Engineering,Waseda University, Tokyo, Japan Department of Advanced Medical Initiatives,Faculty of Medical Sciences,Kyushu University,Japan School of Creative Science and Engineering,Faculty of Science and Engineering,Waseda University,Toky Graduate School of Advanced Science and Engineering,Waseda University,Tokyo,Japan