Literature DB >> 21235410

Differences in grip forces among various robotic instruments and da Vinci surgical platforms.

Phillip Mucksavage1, David C Kerbl, Donald L Pick, Jason Y Lee, Elspeth M McDougall, Michael K Louie.   

Abstract

INTRODUCTION: The da Vinci surgical platform is becoming increasingly available and utilized. Due to the lack of haptic feedback, visual cues are necessary to estimate grip forces and tissue tensions during surgery. We directly measured the grip forces of robotic EndoWrist instruments using the three available da Vinci robotic surgical platforms.
METHODS: Robotic instruments were tested in the da Vinci S, Si, and Standard systems. A load cell was placed in a housing unit that allowed for measurement of the grip forces applied by the tip of each robotic instrument. Each instrument was tested six times, and all data were analyzed using Student's t-tests or analysis of variance when appropriate.
RESULTS: Slight differences in grip force were seen when the instrument was tested through 2 degrees of freedom at the tip (p = 0.02, analysis of variance) and when comparing a new instrument to an older instrument (p = 0.001 at the neutral position). There was no statistical difference in grip force between the left and right robotic arms. There was a broad range of grip forces between the various robotic instruments. The lowest grip force was registered in the double fenestrated grasper (2.26 ± 0.15 N), whereas the highest was seen in the Hem-o-lok clip applier (39.92 ± 0.89 N). In comparison to the S and Si, the Standard platform appeared to have significantly higher grip forces.
CONCLUSION: Different grip forces were observed among the various robotic instruments commonly used during urologic surgery and between the Standard and the S and Si platforms.

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Year:  2011        PMID: 21235410     DOI: 10.1089/end.2010.0306

Source DB:  PubMed          Journal:  J Endourol        ISSN: 0892-7790            Impact factor:   2.942


  8 in total

1.  A grip force model for the da Vinci end-effector to predict a compensation force.

Authors:  Chiwon Lee; Yong Hyun Park; Chiyul Yoon; Seungwoo Noh; Choonghee Lee; Youdan Kim; Hee Chan Kim; Hyeon Hoe Kim; Sungwan Kim
Journal:  Med Biol Eng Comput       Date:  2014-11-29       Impact factor: 2.602

2.  Evaluating tactile feedback in robotic surgery for potential clinical application using an animal model.

Authors:  Christopher R Wottawa; Bradley Genovese; Bryan N Nowroozi; Steven D Hart; James W Bisley; Warren S Grundfest; Erik P Dutson
Journal:  Surg Endosc       Date:  2015-10-30       Impact factor: 4.584

3.  Estimating Tool-Tissue Forces Using a 3-Degree-of-Freedom Robotic Surgical Tool.

Authors:  Baoliang Zhao; Carl A Nelson
Journal:  J Mech Robot       Date:  2016-05-04       Impact factor: 2.085

4.  Design, Analysis and Experimental Validation of a Novel 7-Degrees of Freedom Instrument for Laparoscopic Surgeries.

Authors:  Prabhat Kumar; Sagar Talele; Suresh Deshpande; Rupesh Ghyar; Sritam Rout; Bhallamudi Ravi
Journal:  Ann Biomed Eng       Date:  2022-10-04       Impact factor: 4.219

5.  Multidisciplinary validation study of the da Vinci Skills Simulator: educational tool and assessment device.

Authors:  Kirsten Foell; Alexander Furse; R John D'A Honey; Kenneth T Pace; Jason Y Lee
Journal:  J Robot Surg       Date:  2013-04-21

6.  Pneumatic-type surgical robot end-effector for laparoscopic surgical-operation-by-wire.

Authors:  Chiwon Lee; Woo Jung Park; Myungjoon Kim; Seungwoo Noh; Chiyul Yoon; Choonghee Lee; Youdan Kim; Hyeon Hoe Kim; Hee Chan Kim; Sungwan Kim
Journal:  Biomed Eng Online       Date:  2014-09-05       Impact factor: 2.819

7.  How does a surgeon's brain buzz? An EEG coherence study on the interaction between humans and robot.

Authors:  Tommaso Bocci; Carlo Moretto; Silvia Tognazzi; Lucia Briscese; Megi Naraci; Letizia Leocani; Franco Mosca; Mauro Ferrari; Ferdinando Sartucci
Journal:  Behav Brain Funct       Date:  2013-04-22       Impact factor: 3.759

8.  Toward Mechanochromic Soft Material-Based Visual Feedback for Electronics-Free Surgical Effectors.

Authors:  Goffredo Giordano; Mariacristina Gagliardi; Yu Huan; Marco Carlotti; Andrea Mariani; Arianna Menciassi; Edoardo Sinibaldi; Barbara Mazzolai
Journal:  Adv Sci (Weinh)       Date:  2021-06-02       Impact factor: 16.806

  8 in total

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