Task Decomposition of Minimally Invasive Surgery for Objective Evaluation of Laparoscopic Surgical Skills Using Hidden Markov Models

Rosen, J. and Solazzo, M. and Hannaford, B. and Sinanan, M. (2000) Task Decomposition of Minimally Invasive Surgery for Objective Evaluation of Laparoscopic Surgical Skills Using Hidden Markov Models. In: BMES 2000, Biomedical Engineering Society, Annual Meeting, Seattle, WA.

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Abstract

Laparoscopic skill evaluation of surgical residents is usually a subjective process, carried out by senior surgeons using fuzzy criteria. The aim of this study was to develop and assess an objective laparoscopic surgical skill scale using Hidden Markov Models (HMM) based on haptic information, tool/tissue interactions and visual task decomposition. Eight subjects (six residents: R1, R3, R5 at different training levels, and two experts ES)performed laparoscopic cholecystectomy on pigs using an instrumented grasper equipped with force-torque (F/T) sensors at the hand/tool inferace and synchronized video of the operative maneuvers. Fourteen types of tool/tissue interactions, each associated with unique F/T signatures, were defined from frame-by-frame video analysis. The statistical distances between HMMs representing expert surgeons and residents were significantly different. Major differences were: (i) F/T magnitudes, (ii) tool/tissue interactions used and transitions between them, (iii) time intervals in each tool/tissue interaction and overall completion time. The greatest difference in performance was between R1 (junior trainee) and R3 (mid-level trainee). Smaller changes were seen as expertise increased beyond the R3 level. This objective learning curvey suggests that the laparoscopic surgical residents acquire a major portion of their skill between the first and the third eyars of their 5 years of training. (formerly M143)

Item Type: Conference or Workshop Item (Paper)
Subjects: C Surgical Robots > C Surgical Robots(General)
Depositing User: Jeffrey Herron
Date Deposited: 07 Jul 2015 21:23
Last Modified: 07 Jul 2015 21:23
URI: http://brl.ee.washington.edu/eprints/id/eprint/67

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