Training system for NOTES and SPS surgery robot that enables spatiotemporal retrospective analysis of the training process

Asaki Hattori, Naoki Suzuki, Satoshi Ieiri, Morimasa Tomikawa, Hajime Kenmotsu, Makoro Hashizume

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

Abstract

Within the digestive organ surgery robot R&D project, our research team aims to develop a surgical robot training device with an interface identical to that of the actual device. The training device uses an organ model that changes shape in real time to train operators to grab, cut open, and cut off soft tissues and close wounds using the actual device. To increase the effectiveness of the training device, we added functions to save the movements of the robot in training and changes in the operation field. By recreating the situation during training, we were able to analyze in four dimensions (4D) various changes in the operation field that the operator cannot see during training. This new function not only enabled us to analyze the contents of the training in detail, but also to report any problems in development and design of the actual device.

Original languageEnglish
Title of host publicationMedicine Meets Virtual Reality 19
Subtitle of host publicationNextMed, MMVR 2012
PublisherIOS Press
Pages166-170
Number of pages5
ISBN (Print)9781614990215
DOIs
Publication statusPublished - 2012
Externally publishedYes
EventMedicine Meets Virtual Reality 19: NextMed, MMVR 2012 - Newport Beach, CA, United States
Duration: 2012 Feb 92012 Feb 11

Publication series

NameStudies in Health Technology and Informatics
Volume173
ISSN (Print)0926-9630
ISSN (Electronic)1879-8365

Conference

ConferenceMedicine Meets Virtual Reality 19: NextMed, MMVR 2012
CountryUnited States
CityNewport Beach, CA
Period12/2/912/2/11

Keywords

  • 4D analysis
  • Surgery robot
  • Training system

ASJC Scopus subject areas

  • Biomedical Engineering
  • Health Informatics
  • Health Information Management

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    Hattori, A., Suzuki, N., Ieiri, S., Tomikawa, M., Kenmotsu, H., & Hashizume, M. (2012). Training system for NOTES and SPS surgery robot that enables spatiotemporal retrospective analysis of the training process. In Medicine Meets Virtual Reality 19: NextMed, MMVR 2012 (pp. 166-170). (Studies in Health Technology and Informatics; Vol. 173). IOS Press. https://doi.org/10.3233/978-1-61499-022-2-166