DocumentCode
3243772
Title
Development of Tension/Compression Detection Sensor System designed to acquire quantitative force information while training the airway management task
Author
Noh, Yohan ; Shimomura, Akihiro ; Segawa, Masanao ; Ishii, Hiroyuki ; Solis, Jorge ; Takanishi, Atsuo ; Hatake, Kazuyuki
Author_Institution
Adv. Res. Inst. for Sci. & Eng., Waseda Univ., Tokyo, Japan
fYear
2009
fDate
14-17 July 2009
Firstpage
1264
Lastpage
1269
Abstract
Up to now, different kinds of medical training systems have been developed which were designed to reproduce the human anatomy in high fidelity. However, these kinds of systems are limited to provide quantitative information of the trainees´ operation, only provide subjective assessment to them, and finally to provide few feedbacks to them. Therefore, we would like to propose the advanced medical training method using RT which enables us to not only provide quantitative information of the trainees´ operation, but also objective evaluation to them from the quantitative information. For the purpose of these facts, we developed Waseda Kyotokagaku Airway-No.1 Refined (WKA-1R) which embeds many sensors in order to provide quantitative information of the trainees´ skill as well as an evaluation unit for them. However, the force sensor of WKA-1R has three problems, such as a limited measurement of the applied force, calibration, and maintenance for practicality. In this paper, we propose newly developed Tension/Compression Detection Sensor System (TCDSS) which not only reinforces calibration and maintenance for practicality, but also enables us to measure tension, compression, and torque. In addition, we also propose a Tactile Detection Sensor System (TDSS) which enables us to obtain the information of tactile sensation of the robot. Finally, preliminary experiments have been proposed to obtain the characteristic curve on the TCDSS.
Keywords
force sensors; learning (artificial intelligence); medical robotics; tactile sensors; Waseda Kyotokagaku airway-no.1 refined; airway management task; compression measurement; force sensor; human anatomy; medical training systems; quantitative force information; robot tactile sensation; tactile detection sensor system; tension measurement; tension-compression detection sensor system design; torque measurement; Biomedical engineering; Calibration; Feedback; Force measurement; Force sensors; Management training; Mechanical engineering; Medical robotics; Robot sensing systems; Sensor systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics, 2009. AIM 2009. IEEE/ASME International Conference on
Conference_Location
Singapore
Print_ISBN
978-1-4244-2852-6
Type
conf
DOI
10.1109/AIM.2009.5229798
Filename
5229798
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