2A1-C04 気管内挿管の自動化のための気道・食道画像の識別(医療・福祉ロボティクス・メカトロニクス)

概要

論文の詳細を見る
We have been developing an automatic endotracheal intubation system using a high performance stylet. This system is composed of an endotracheal stylet and a camera attached at the point of the stylet. One of fundamental functions of the automatic intubation system is to check whether the endotracheal intubation is completed appropriately or not. For achieving this function, this paper presents a method for classifying trachea and esophagus images taken by the mounted camera. The proposed method utilizes circular patterns of cricoid cartilage which is observed in trachea images only. Experimental results show that the proposed method can extract the cricoid patterns in trachea images efficiently and accurately.
一般社団法人日本機械学会の論文
2008-06-06