Performance measurement in scaled teleoperation for microsurgery
CVRMed-MRCAS '97 Proceedings of the First Joint Conference on Computer Vision, Virtual Reality and Robotics in Medicine and Medial Robotics and Computer-Assisted Surgery
Computer-Assisted TURP Training and Monitoring
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
First Steps in Eliminating the Need for Animals and Cadavers in Advanced Trauma Life Support®
MICCAI '00 Proceedings of the Third International Conference on Medical Image Computing and Computer-Assisted Intervention
Automatic detection and segmentation of robot-assisted surgical motions
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Sparse hidden markov models for surgical gesture classification and skill evaluation
IPCAI'12 Proceedings of the Third international conference on Information Processing in Computer-Assisted Interventions
| Hi-index | 0.00 |
In most surgical training systems, task completion time and error ratio are common metrics of surgical skill. To avoid applying unnecessary and injurious force to the tissue, surgeons must know for themselves how much force they are exerting as they handle surgical tools. Our goal is to develop an endoscopic sinus surgery (ESS) training system that quantitatively evaluates the trainee's surgical skills. In this paper, we present an ESS training system with force sensors for surgical skill evaluation. Our experiment revealed that the integral of the force data can also be one of the useful metrics of surgical skill.