Fuzzy logic-based performance assessment in the Virtual, Assistive Surgical Trainer (VAST)

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

The Virtual Assistive Surgical Trainer (VAST) is an approach developed to train surgeons in minimally invasive procedures. It uses surgical instruments augmented with micro-sensors, and knowledge-based inference techniques to provide objective, data-driven feedback and performance assessment for complex exercises. The assessment is typically based on the expertise of senior surgeons and, thus, a single objective standard is difficult to define. To formulate such a standard, and to provide an accurate scoring method, a fuzzy logic method is proposed in this paper. This makes it easier to mimic tasks that are already successfully performed by human experts. A multi-level fuzzy inference engine and new performance metrics are implemented. Experimental results demonstrate the feasibility of this method and the efficacy of the new performance metrics.

Original languageEnglish (US)
Title of host publicationProceedings - Fifteenth IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008
Pages203-209
Number of pages7
DOIs
StatePublished - 2008
Event15th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008 - Belfast, United Kingdom
Duration: Mar 31 2008Apr 4 2008

Other

Other15th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008
CountryUnited Kingdom
CityBelfast
Period3/31/084/4/08

Fingerprint

Performance Assessment
Fuzzy Logic
Fuzzy logic
Performance Metrics
Inference engines
Fuzzy inference
Inference Engine
Fuzzy Inference
Knowledge-based
Expertise
Feedback
Scoring
Data-driven
Exercise
Efficacy
Sensors
Sensor
Experimental Results
Demonstrate
Standards

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Control and Systems Engineering
  • Theoretical Computer Science
  • Hardware and Architecture

Cite this

Feng, C., Rozenblit, J. W., & Hamilton, A. J. (2008). Fuzzy logic-based performance assessment in the Virtual, Assistive Surgical Trainer (VAST). In Proceedings - Fifteenth IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008 (pp. 203-209). [4492401] https://doi.org/10.1109/ECBS.2008.51

Fuzzy logic-based performance assessment in the Virtual, Assistive Surgical Trainer (VAST). / Feng, Chuan; Rozenblit, Jerzy W; Hamilton, Allan J.

Proceedings - Fifteenth IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008. 2008. p. 203-209 4492401.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Feng, C, Rozenblit, JW & Hamilton, AJ 2008, Fuzzy logic-based performance assessment in the Virtual, Assistive Surgical Trainer (VAST). in Proceedings - Fifteenth IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008., 4492401, pp. 203-209, 15th IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008, Belfast, United Kingdom, 3/31/08. https://doi.org/10.1109/ECBS.2008.51
Feng C, Rozenblit JW, Hamilton AJ. Fuzzy logic-based performance assessment in the Virtual, Assistive Surgical Trainer (VAST). In Proceedings - Fifteenth IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008. 2008. p. 203-209. 4492401 https://doi.org/10.1109/ECBS.2008.51
Feng, Chuan ; Rozenblit, Jerzy W ; Hamilton, Allan J. / Fuzzy logic-based performance assessment in the Virtual, Assistive Surgical Trainer (VAST). Proceedings - Fifteenth IEEE International Conference and Workshops on the Engineering of Computer-Based Systems, ECBS 2008. 2008. pp. 203-209
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