Fuzzy classification: towards evaluating performance on a surgical simulator.

@article{Huang2005FuzzyCT,
  title={Fuzzy classification: towards evaluating performance on a surgical simulator.},
  author={Jeff Huang and Shahram Payandeh and Peter Doris and Ima Hajshirmohammadi},
  journal={Studies in health technology and informatics},
  year={2005},
  volume={111},
  pages={194-200}
}
Computer-based surgical simulators such as the MIST-VR are able to provide scoring metrics such as time taken to complete a task, number of errors made, and economy of movement. Using MIST-VR's basic metrics, we explored the possibility of classifying skill levels using fuzzy logic. Our objective was to create a fuzzy classifier capable of classifying the performance of a subject training on a surgical simulator into 1 of 3 categories: Novice, Intermediate, and Expert. To accomplish this, we… CONTINUE READING

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LTE: A multi-modal training environment for surgeons

  • S Payandeh
  • In Proc. of ACM Fifth International Conference on…
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