Literature DB >> 31490615

Development and evaluation of an autonomous camera control algorithm on the da Vinci Surgical System.

Shahab Eslamian1, Luke A Reisner1, Abhilash K Pandya1.   

Abstract

BACKGROUND: Manual control of the camera arm in telerobotic surgical systems requires the surgeon to repeatedly interrupt the flow of the surgery. During surgery, there are instances when one or even both tools can drift out of the field of view. These issues may lead to increased workload and potential errors.
METHODS: We performed a 20-participant subject study (including four surgeons) to compare different methods of camera control on a customized da Vinci Surgical System. We tested (a) an autonomous camera algorithm, (b) standard clutched control, and (c) an experienced camera operator using a joystick.
RESULTS: The automated algorithm surpassed the traditional method of clutched camera control in measures of userperceived workload, efficiency, and progress. Additionally, it was consistently able to generate more centered and appropriately zoomed viewpoints than the other methods while keeping both tools safely inside the camera's field of view.
CONCLUSIONS: Clinical systems of the future should consider automating the camera control aspects of robotic surgery.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  computer-assisted surgery; minimal invasive surgery; telesurgery

Year:  2019        PMID: 31490615     DOI: 10.1002/rcs.2036

Source DB:  PubMed          Journal:  Int J Med Robot        ISSN: 1478-5951            Impact factor:   2.547


  4 in total

1.  The Barriers of the Assistive Robotics Market-What Inhibits Health Innovation?

Authors:  Gabriel Aguiar Noury; Andreas Walmsley; Ray B Jones; Swen E Gaudl
Journal:  Sensors (Basel)       Date:  2021-04-29       Impact factor: 3.576

Review 2.  A Brief Survey of Telerobotic Time Delay Mitigation.

Authors:  Parinaz Farajiparvar; Hao Ying; Abhilash Pandya
Journal:  Front Robot AI       Date:  2020-12-15

3.  Automating Endoscope Motion in Robotic Surgery: A Usability Study on da Vinci-Assisted Ex Vivo Neobladder Reconstruction.

Authors:  Tommaso Da Col; Guido Caccianiga; Michele Catellani; Andrea Mariani; Matteo Ferro; Giovanni Cordima; Elena De Momi; Giancarlo Ferrigno; Ottavio de Cobelli
Journal:  Front Robot AI       Date:  2021-11-25

4.  Robotic Endoscope Control Via Autonomous Instrument Tracking.

Authors:  Caspar Gruijthuijsen; Luis C Garcia-Peraza-Herrera; Gianni Borghesan; Dominiek Reynaerts; Jan Deprest; Sebastien Ourselin; Tom Vercauteren; Emmanuel Vander Poorten
Journal:  Front Robot AI       Date:  2022-04-11
  4 in total

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