Literature DB >> 28113408

The Role of Direct and Visual Force Feedback in Suturing Using a 7-DOF Dual-Arm Teleoperated System.

Ali Talasaz, Ana Luisa Trejos, Rajni V Patel.   

Abstract

The lack of haptic feedback in robotics-assisted surgery can result in tissue damage or accidental tool-tissue hits. This paper focuses on exploring the effect of haptic feedback via direct force reflection and visual presentation of force magnitudes on performance during suturing in robotics-assisted minimally invasive surgery (RAMIS). For this purpose, a haptics-enabled dual-arm master-slave teleoperation system capable of measuring tool-tissue interaction forces in all seven Degrees-of-Freedom (DOFs) was used. Two suturing tasks, tissue puncturing and knot-tightening, were chosen to assess user skills when suturing on phantom tissue. Sixteen subjects participated in the trials and their performance was evaluated from various points of view: force consistency, number of accidental hits with tissue, amount of tissue damage, quality of the suture knot, and the time required to accomplish the task. According to the results, visual force feedback was not very useful during the tissue puncturing task as different users needed different amounts of force depending on the penetration of the needle into the tissue. Direct force feedback, however, was more useful for this task to apply less force and to minimize the amount of damage to the tissue. Statistical results also reveal that both visual and direct force feedback were required for effective knot tightening: direct force feedback could reduce the number of accidental hits with the tissue and also the amount of tissue damage, while visual force feedback could help to securely tighten the suture knots and maintain force consistency among different trials/users. These results provide evidence of the importance of 7-DOF force reflection when performing complex tasks in a RAMIS setting.

Mesh:

Year:  2016        PMID: 28113408     DOI: 10.1109/TOH.2016.2616874

Source DB:  PubMed          Journal:  IEEE Trans Haptics        ISSN: 1939-1412            Impact factor:   2.487


  7 in total

1.  Suture Breakage Warning System for Robotic Surgery.

Authors:  Ahmad Abiri; Syed J Askari; Anna Tao; Yen-Yi Juo; Yuan Dai; Jake Pensa; Robert Candler; Erik P Dutson; Warren S Grundfest
Journal:  IEEE Trans Biomed Eng       Date:  2018-09-10       Impact factor: 4.538

2.  Surgeon-Centered Analysis of Robot-Assisted Needle Driving Under Different Force Feedback Conditions.

Authors:  Lidor Bahar; Yarden Sharon; Ilana Nisky
Journal:  Front Neurorobot       Date:  2020-01-24       Impact factor: 2.650

3.  Proposal and Evaluation of Visual Haptics for Manipulation of Remote Machine System.

Authors:  Masaki Haruna; Masaki Ogino; Toshiaki Koike-Akino
Journal:  Front Robot AI       Date:  2020-10-07

4.  Vision-Based Suture Tensile Force Estimation in Robotic Surgery.

Authors:  Won-Jo Jung; Kyung-Soo Kwak; Soo-Chul Lim
Journal:  Sensors (Basel)       Date:  2020-12-26       Impact factor: 3.576

Review 5.  Tool-tissue forces in surgery: A systematic review.

Authors:  Aida Kafai Golahmadi; Danyal Z Khan; George P Mylonas; Hani J Marcus
Journal:  Ann Med Surg (Lond)       Date:  2021-03-31

6.  Robotics and AI for Teleoperation, Tele-Assessment, and Tele-Training for Surgery in the Era of COVID-19: Existing Challenges, and Future Vision.

Authors:  Navid Feizi; Mahdi Tavakoli; Rajni V Patel; S Farokh Atashzar
Journal:  Front Robot AI       Date:  2021-04-14

Review 7.  An Atlas for the Inkjet Printing of Large-Area Tactile Sensors.

Authors:  Giulia Baldini; Alessandro Albini; Perla Maiolino; Giorgio Cannata
Journal:  Sensors (Basel)       Date:  2022-03-17       Impact factor: 3.576

  7 in total

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