Takács, Kristóf and Móga, Kristóf and Haidegger, Tamás (2020) Sensorized Psychomotor Skill Assessment Platform Built on a Robotic Surgery Phantom. In: 2020 IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI).
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Abstract
The spread of robot-assisted minimal invasive surgery presents new challenges to surgeons and researchers alike. The novel surgical tools, methods and processes require different skills from the clinicians, thus surgical training and skill-assessment has become increasingly important. In this article, we describe the modification process of a widely used training device, the Fundamentals of Robotic Surgery (FRS) Dome, that was made capable of automatic skill-assessment too, by applying different sensors on it. The basic principles and methods of the sensorization process are shown, together with the first results obtained on the amended training platform.
| Item Type: | Conference or Workshop Item (Paper) |
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| Subjects: | Q Science / természettudomány > Q1 Science (General) / természettudomány általában R Medicine / orvostudomány > RD Surgery / sebészet |
| Depositing User: | Dr. Tamas Haidegger |
| Date Deposited: | 01 Oct 2020 12:13 |
| Last Modified: | 01 Oct 2020 12:13 |
| URI: | http://real.mtak.hu/id/eprint/115553 |
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