• DocumentCode
    2488745
  • Title

    Designing an active motor skill learning platform with a robot-assisted laparoscopic trainer

  • Author

    Lee, Chun Siong ; Yang, Liangjing ; Yang, Tao ; Chui, Chee Kong ; Liu, Jiang ; Huang, Weimin ; Su, Yi ; Chang, Stephen K Y

  • Author_Institution
    Dept. of Mech. Eng., Nat. Univ. of Singapore, Singapore, Singapore
  • fYear
    2011
  • fDate
    Aug. 30 2011-Sept. 3 2011
  • Firstpage
    4534
  • Lastpage
    4537
  • Abstract
    Laparoscopic Surgery poses significant complexity in hand-eye coordination to the surgeon. In order to improve their proficiency beyond the limited exposure in the operating theatre, surgeons need to practice on laparoscopic trainers. We have constructed a robotic laparoscopic trainer with identical degrees of freedom and range of motion as a conventional laparoscopic instrument. We hypothesize that active robotic assistance through a laparoscopic trainer improves training efficacy as compared to autonomous practice. In order to test the hypothesis, we have divided the subjects into two groups. The control group practiced on two laparoscopic tasks manually without feedback or supervision. The other group practiced on the same tasks with robotic assistance. Results from the robot-assisted group show that tool orientation (pitch and yaw joint motion) in the pointing task improved by more than 15%.
  • Keywords
    gynaecology; medical robotics; surgery; active motor skill learning platform designing; active robotic assistance; complexity; hand-eye coordination; laparoscopic instrument; laparoscopic surgery; pointing task; robot-assisted laparoscopic trainer; robotic laparoscopic trainer; surgeons; tool orientation; training efficacy; Laparoscopes; Minimally invasive surgery; Robots; Timing; Training; Trajectory; Adult; Humans; Laparoscopy; Learning; Motor Skills; Robotics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Engineering in Medicine and Biology Society, EMBC, 2011 Annual International Conference of the IEEE
  • Conference_Location
    Boston, MA
  • ISSN
    1557-170X
  • Print_ISBN
    978-1-4244-4121-1
  • Electronic_ISBN
    1557-170X
  • Type

    conf

  • DOI
    10.1109/IEMBS.2011.6091123
  • Filename
    6091123