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
Link To Document :
بازگشت