Defining metrics for objective evaluation of surgical performances in laparoscopic training

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

doi:10.1016/j.ics.2005.03.195

Defining metrics for objective evaluation of surgical performances in laparoscopic training

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

IRCCS Fondazione Policlinico San Matteo

Research output: Contribution to journal › Article › peer-review

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 language	English
Pages (from-to)	509-514
Number of pages	6
Journal	International Congress Series
Volume	1281
DOIs	https://doi.org/10.1016/j.ics.2005.03.195
Publication status	Published - May 2005

Keywords

Evaluation
Hidden Markov Model
Learning
Mininvasive surgery
Surgical simulator
Training

ASJC Scopus subject areas

Medicine(all)

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10.1016/j.ics.2005.03.195

Cite this

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title = "Defining metrics for objective evaluation of surgical performances in laparoscopic training",

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.",

keywords = "Evaluation, Hidden Markov Model, Learning, Mininvasive surgery, Surgical simulator, Training",

author = "Stefano Sinigaglia and Giuseppe Megali and Oliver Tonet and Andrea Pietrabissa and Paolo Dario",

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AU - Sinigaglia, Stefano

AU - Megali, Giuseppe

AU - Tonet, Oliver

AU - Pietrabissa, Andrea

AU - Dario, Paolo

PY - 2005/5

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AB - 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.

KW - Evaluation

KW - Hidden Markov Model

KW - Learning

KW - Mininvasive surgery

KW - Surgical simulator

KW - Training

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JO - International Congress Series

JF - International Congress Series

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ER -

Defining metrics for objective evaluation of surgical performances in laparoscopic training

Abstract

Keywords

ASJC Scopus subject areas

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