Abstract | ||
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In this paper, we described the development of an endoscopic system with the application of minimally invasive observation for a pituitary tumor or a craniopharyngioma. The end-effector was manufactured by attaching an image sensor to the end of a manipulator with a diameter of 3 mm (smaller than a commercial endoscope) by making slits on a biocompatible PAI (Polyamide-imide) tube. The end-effector having 2 degrees of freedom for bending is designed not only to cover most of the FOVs (92.8% of the goal) with commercially available fixed-angle endoscopes at 0, 30, and 70 degrees, but also to be able to maneuver the endoscope intuitively. The system consists of a controller, a foot switch, and the end-effector. Through qualitative experiments, basic verification of the proposed system was tested and the potential of this study was recognized through user evaluations from 3 specialists, which generated positive feedback upon the operational procedures. |
Year | DOI | Venue |
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2018 | 10.1109/EMBC.2018.8513308 | EMBC |
Field | DocType | Volume |
Endoscope,Computer vision,Control theory,Foot Switch,Image sensor,Computer science,Manipulator,Robot end effector,Artificial intelligence,Biocompatible material | Conference | 2018 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Seongil Kwon | 1 | 0 | 0.34 |
Geunwoong Ryu | 2 | 0 | 0.68 |
Sungchul Kang | 3 | 373 | 47.67 |
Keri Kim | 4 | 12 | 4.52 |