Intelligent Mechatronic System for Automatically Evaluating the Training of the Laparoscopic Surgeon

  • Lorias
  • Published 2012

Abstract

Laparoscopic surgery is seen as the surgery of the future. Its low mortality rate, its fast recuperation rate and the aesthetic advantages it offers the patient make it adequate for application in all of the medical sub-specialisms. This is the main reason why technological innovation for this surgery is accelerated. However, all this technology is insufficient if the specialist surgeon does not also use training and evaluation [Dankelman 2005, Martin et al. 1997, Vassiluo et al. 2005]. Training in the development of the laparoscopic surgeon continues to be the cornerstone of the specialism. It is for this reason that the surgeon should count with training methods that augment their skills and, even more than that, intelligent mechatronic systems that can measure this improvement in their skills. Current training systems are based principally on the time taken to complete tasks and the quality of the development of these tasks. [Peters et al. 2004, Chung & Sackiier 1998, Keyser et al. 2000)]. Time is an objective and impartial factor, but measures of quality are normally subjective. Systems for training and for the evaluation of virtual reality, such as the haptic systems, [MaClusky et al., Sutherland et al. 2006], rate the quality of the training, but the cost of this evaluation is very high. For this reason cheaper mechatronic systems are required, whose philosophy of evaluation is based on the work developed by the user and the evolution of his learning. In this way it could be possible to objectively evaluate the increase in the skill level achieved by the surgeon. The TrEndo system [Magdalena et al., 2006] is a good example of this effort to complement the measurement of quality of the training, but, even today, no methodology for establishing the clarity of this measurement has been developed. For this reason, we propose a new methodology of intelligent training evaluation, using the analysis in time of the three-dimensional behavior of each instrument during the execution of the task of transfer, based on a mechatronic system.

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Cite this paper

@inproceedings{Lorias2012IntelligentMS, title={Intelligent Mechatronic System for Automatically Evaluating the Training of the Laparoscopic Surgeon}, author={Lorias}, year={2012} }