Surgical training and performance assessment using a motion tracking system

Chuan Feng, Hanees Haniffa, Jerzy Rozenblit, Jianfeng Peng, Allan Hamilton, Mohamad Salkini

Research output: Chapter in Book/Report/Conference proceedingConference contribution

17 Scopus citations

Abstract

Laparoscopic surgery is a newly developed surgical technology that can minimize recovery time. However, with this procedure surgeons lose many of the tactile and visual cues that they rely upon in conventional surgery. Current research and commercial products focus on virtual simulation of procedures, generation of haptic feedback for training, and automated control of the laparoscope in the operating room (OR). This paper discusses a surgical training and assessment system that provides unique sensing and reasoning capabilities for laparoscopic surgery. The system implements an inference module to process information acquired from sensors, and offers real-time guidance capability that will enhance sensory input for surgeons. A training device prototype has been developed. Future research work will focus on developing the technology as a surgical assistant system for use in the OR.

Original languageEnglish (US)
Title of host publicationInternational Mediterranean Modelling Multiconference, IMM
Pages647-652
Number of pages6
StatePublished - 2006
EventInternational Mediterranean Modelling Multiconference, I3M 2006 - Barcelona, Spain
Duration: Oct 4 2006Oct 6 2006

Publication series

NameInternational Mediterranean Modelling Multiconference, I3M

Other

OtherInternational Mediterranean Modelling Multiconference, I3M 2006
Country/TerritorySpain
CityBarcelona
Period10/4/0610/6/06

Keywords

  • Laparoscopy
  • Motion sensors
  • Surgical performance assessment
  • Virtual surgical training

ASJC Scopus subject areas

  • Modeling and Simulation

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