• 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