Literature DB >> 20889367

Gaze-Contingent Motor Channelling, haptic constraints and associated cognitive demand for robotic MIS.

George P Mylonas1, Ka-Wai Kwok, David R C James, Daniel Leff, Felipe Orihuela-Espina, Ara Darzi, Guang-Zhong Yang.   

Abstract

The success of MIS is coupled with an increasing demand on surgeons' manual dexterity and visuomotor coordination due to the complexity of instrument manipulations. The use of master-slave surgical robots has avoided many of the drawbacks of MIS, but at the same time, has increased the physical separation between the surgeon and the patient. Tissue deformation combined with restricted workspace and visibility of an already cluttered environment can raise critical issues related to surgical precision and safety. Reconnecting the essential visuomotor sensory feedback is important for the safe practice of robot-assisted MIS procedures. This paper introduces a novel gaze-contingent framework for real-time haptic feedback and virtual fixtures by transforming visual sensory information into physical constraints that can interact with the motor sensory channel. We demonstrate how motor tracking of deforming tissue can be made more effective and accurate through the concept of Gaze-Contingent Motor Channelling. The method is also extended to 3D by introducing the concept of Gaze-Contingent Haptic Constraints where eye gaze is used to dynamically prescribe and update safety boundaries during robot-assisted MIS without prior knowledge of the soft-tissue morphology. Initial validation results on both simulated and robot assisted phantom procedures demonstrate the potential clinical value of the technique. In order to assess the associated cognitive demand of the proposed concepts, functional Near-Infrared Spectroscopy is used and preliminary results are discussed. Copyright Â
© 2010 Elsevier B.V. All rights reserved.

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Year:  2010        PMID: 20889367     DOI: 10.1016/j.media.2010.07.007

Source DB:  PubMed          Journal:  Med Image Anal        ISSN: 1361-8415            Impact factor:   8.545


  8 in total

Review 1.  Prevalence of haptic feedback in robot-mediated surgery: a systematic review of literature.

Authors:  Farshid Amirabdollahian; Salvatore Livatino; Behrad Vahedi; Radhika Gudipati; Patrick Sheen; Shan Gawrie-Mohan; Nikhil Vasdev
Journal:  J Robot Surg       Date:  2017-12-01

2.  Dynamic gaze-position prediction of saccadic eye movements using a Taylor series.

Authors:  Shuhang Wang; Russell L Woods; Francisco M Costela; Gang Luo
Journal:  J Vis       Date:  2017-12-01       Impact factor: 2.240

3.  Collaborative gaze channelling for improved cooperation during robotic assisted surgery.

Authors:  Ka-Wai Kwok; Loi-Wah Sun; George P Mylonas; David R C James; Felipe Orihuela-Espina; Guang-Zhong Yang
Journal:  Ann Biomed Eng       Date:  2012-05-12       Impact factor: 3.934

4.  A novel gaze-controlled flexible robotized endoscope; preliminary trial and report.

Authors:  Arun Sivananthan; Alexandros Kogkas; Ben Glover; Ara Darzi; George Mylonas; Nisha Patel
Journal:  Surg Endosc       Date:  2021-05-24       Impact factor: 4.584

5.  Robot-assisted vitreoretinal surgery: current perspectives.

Authors:  Marina Roizenblatt; Thomas L Edwards; Peter L Gehlbach
Journal:  Robot Surg       Date:  2018-02-23

Review 6.  Non-Technical Skill Assessment and Mental Load Evaluation in Robot-Assisted Minimally Invasive Surgery.

Authors:  Renáta Nagyné Elek; Tamás Haidegger
Journal:  Sensors (Basel)       Date:  2021-04-10       Impact factor: 3.576

7.  Saccade Landing Point Prediction Based on Fine-Grained Learning Method.

Authors:  Aythami Morales; Francisco M Costela; Russell L Woods
Journal:  IEEE Access       Date:  2021-04-01       Impact factor: 3.367

Review 8.  Neuromonitoring Correlates of Expertise Level in Surgical Performers: A Systematic Review.

Authors:  Theodore C Hannah; Daniel Turner; Rebecca Kellner; Joshua Bederson; David Putrino; Christopher P Kellner
Journal:  Front Hum Neurosci       Date:  2022-02-16       Impact factor: 3.169

  8 in total

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