Abstract

The purpose of this study was to investigate consistency of performance of robot-assisted surgical tasks in a virtual reality environment. Eight subjects performed two surgical tasks, bimanual carrying and needle passing, with both the da Vinci surgical robot and a virtual reality equivalent environment. Nonlinear analysis was utilized to evaluate consistency of performance by calculating the regularity and the amount of divergence in the movement trajectories of the surgical instrument tips. Our results revealed that movement patterns for both training tasks were statistically similar between the two environments. Consistency of performance as measured by nonlinear analysis could be an appropriate methodology to evaluate the complexity of the training tasks between actual and virtual environments and assist in developing better surgical training programs.

Original languageEnglish (US)
Title of host publicationMedicine Meets Virtual Reality 17 - NextMed
Subtitle of host publicationDesign for/the Well Being
PublisherIOS Press
Pages369-373
Number of pages5
ISBN (Print)9781586039646
DOIs
StatePublished - Jan 1 2009
Event17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009 - Long Beach, CA, United States
Duration: Jan 19 2009Jan 22 2009

Publication series

NameStudies in Health Technology and Informatics
Volume142
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

Conference17th Annual MMVR Conference - NextMed: Design for/the Well Being, MMVR17 2009
CountryUnited States
CityLong Beach, CA
Period1/19/091/22/09

Keywords

  • Da vinci robotic surgical system
  • Nonlinear analysis
  • Virtual reality

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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  • Cite this

    Suh, I. H., Siu, K. C., Mukherjee, M., Monk, E., Oleynikov, D., & Stergiou, N. (2009). Consistency of performance of robot-assisted surgical tasks in virtual reality. In Medicine Meets Virtual Reality 17 - NextMed: Design for/the Well Being (pp. 369-373). (Studies in Health Technology and Informatics; Vol. 142). IOS Press. https://doi.org/10.3233/978-1-58603-964-6-369