Host: The Japan Society of Mechanical Engineers
Name : [in Japanese]
Date : March 14, 2018 - March 15, 2018
Tracheal intubation of medical procedures is an indispensable procedure for securing the airway during general anesthesia etc., but its proficiency is evaluated by expert subjectively. For efficiency improvement of this procedure education, indices that can be evaluated objectively is required. The whole body movement of the doctor is measured with motion capture during the procedure. We researched to obtain skill level from the characteristics of its operation. The motion of experts with long years of experience and junior residents were recorded over the entire body of 21 joints at 120 Hz and set as a dataset based on the angular velocities of each joint. We propose the method to identify experts and first scholars by deep learning or support vector machine.
