Defining metrics for objective evaluation of surgical performances in laparoscopic training

Stefano Sinigaglia, Giuseppe Megali, Oliver Tonet, Andrea Pietrabissa, Paolo Dario

Research output: Contribution to journalArticle

Abstract

We developed a software tool for kinematics study of the surgeon's performances in Minimal Invasive Surgery (MIS). The tool works on data acquired during exercise execution performed on a Virtual Laparoscopic Simulator and/or a sensorized bench-box. The tool provides functions to study HMM modellization of the surgical gesture, in order to create task independent evaluation metrics.

Original languageEnglish
Pages (from-to)509-514
Number of pages6
JournalInternational Congress Series
Volume1281
DOIs
Publication statusPublished - May 2005

Keywords

  • Evaluation
  • Hidden Markov Model
  • Learning
  • Mininvasive surgery
  • Surgical simulator
  • Training

ASJC Scopus subject areas

  • Medicine(all)

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