Minimally invasive surgery maneuver recognition based on surgeon model

  • Authors:
  • B. Estebanez;G. Jimenez;V. Muñoz;I. Garcia-Morales;E. Bauzano;J. Molina

  • Affiliations:
  • -;-;System Engineering and Automation Department, University of Malaga, Spain;-;-;-

  • Venue:
  • IROS'09 Proceedings of the 2009 IEEE/RSJ international conference on Intelligent robots and systems
  • Year:
  • 2009

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Abstract

This paper proposes a new user interface based on a maneuver recognition system, which models the surgeon behavior. This interface includes three different modules: data acquisition and coding, training system and on-line recognition system. The aim is defined as recognizing the surgeon movements while is performing a surgical maneuver, by using a 3D surgical tool tracker. The obtained measurements are converted in to movement symbols by means of a Wavelet transform and a fuzzy clustering. These symbols are used both for training HMM and for recognizing the current maneuver. The system has been tested in some in-vitro experiments performing a fictitious surgical protocol.