著者
加藤 皓健 野村 健太 竹村 裕 曽我 公平 横田 秀夫 伊藤 雅昭 後藤 直人 西澤 祐吏
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集 2016 (ISSN:24243124)
巻号頁・発行日
pp.1A1-02a3, 2016 (Released:2017-06-19)

This paper presents a needle shooting device at high-speed for the puncture treatment. Problems of the puncture treatment are a curving of needles and a moving of organs because doctors puncture a needle at low speed. We assumed that puncturing a needle at high-speed can solve these problems. The needle with thread is used for inserting treatment instruments into the body. Coil-gun and Railgun were used for the small needle acceleration. We measured relations between the voltage and the velocity on Coil-gun and Railgun. In the case of Coil-gun, the velocity do not monotonous increases as the value of voltage increases. In the case of Railgun, the velocity monotonous increase as the value of voltage increases. The experimental results show that a needle with thread can be accelerated by Coil-gun and Railgun.
著者
近藤 真阿久 竹村 裕 築地原 里樹 下田 晋寛 曽我 公平 須賀 一博 頼 威任 キム スンミン 簡野 瑞誠 宇尾 基弘
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集 2020 (ISSN:24243124)
巻号頁・発行日
pp.2P1-D09, 2020 (Released:2020-11-25)

In recent years, the demand for orthodontic treatment has been increasing, but the change in the moment due to the movement of the teeth during orthodontic treatment has not been measured and has not been quantitatively evaluated. The purpose of this study is to develop a three-tooth device with a built-in 6-axis force sensor and to evaluate orthodontic treatment quantitatively. We have developed a device that can change the angle of the central tooth using a stepping motor to reproduce the movement of the teeth during orthodontic treatment. We verified whether wires needed to be reattached during orthodontic treatment using this device. As a result, it turned out that a larger moment can be applied to the teeth by reattaching the wire during orthodontic treatment
著者
矢羽田 彩乃 北川 雄一 大窪 歩 大久保 喬平 曽我 公平 大島 朋子 竹村 裕
出版者
一般社団法人 日本機械学会
雑誌
ロボティクス・メカトロニクス講演会講演概要集 2020 (ISSN:24243124)
巻号頁・発行日
pp.2P1-F12, 2020 (Released:2020-11-25)

This study shows the possibility of plaque detection by near-infrared hyper spectrum imaging (NIR-HSI) and machine learning without plaque stain. While the plaque stain shows where the plaque is, the plaque stain leaves color and may cause anaphylaxis. Near-infrared images are obtained from the plaque cultured teeth by NIR-HSI. RGB images of stained teeth are obtained and superimposed on the near-infrared image. The G channel of the RGB image is corrected to label the spectral data plaque or no plaque. Learning and prediction were performed by Artificial Neural Network. The proposed method showed that plaque could be detected without staining about 70% accurate.