Literature DB >> 17062404

Artificial tactile sensing in minimally invasive surgery - a new technical approach.

Sebastian Schostek1, Chi-Nghia Ho, Daniel Kalanovic, Marc O Schurr.   

Abstract

The loss of tactile sensation is a commonly known drawback of minimally invasive surgery (MIS). Since the advent of MIS, research activities in providing tactile information to the surgeon are still ongoing, in order to improve patient safety and to extend the indications for MIS. We have designed a tactile sensor system comprising a tactile laparoscopic grasper for surgical palpation. For this purpose, we developed a novel tactile sensor technology which allows the manufacturing of an integrated sensor array within an acceptable price range. The array was integrated into the jaws of a 10mm laparoscopic grasper. The tactile data are transferred wirelessly via Bluetooth and are presented visually to the surgeon. The goal was to be able to obtain information about the shape and consistency of tissue structures by gently compressing the tissue between the jaws of the tactile instrument and thus to be able to recognize and assess anatomical or pathological structures, even if they are hidden in the tissue. With a prototype of the tactile sensor system we have conducted bench-tests as well as in-vitro and in-vivo experiments. The system proved feasibility in an experimental environment, it was easy to use, and the novel tactile sensor array was applicable for both palpation and grasping manoeuvres with forces of up to 60N. The tactile data turned out to be a useful supplement to the minimal amount of haptic feedback that is provided by current endoscopic instruments and the endoscopic image under certain conditions.

Entities:  

Mesh:

Year:  2006        PMID: 17062404     DOI: 10.1080/13645700600836299

Source DB:  PubMed          Journal:  Minim Invasive Ther Allied Technol        ISSN: 1364-5706            Impact factor:   2.442


  7 in total

1.  Artificial tactile feedback can significantly improve tissue examination through remote palpation.

Authors:  Sebastian Schostek; Martin J Binser; Fabian Rieber; Chi-Nghia Ho; Marc O Schurr; Gerhard F Buess
Journal:  Surg Endosc       Date:  2010-03-31       Impact factor: 4.584

Review 2.  Computer-assisted Orthopaedic Surgery.

Authors:  David Hernandez; Roja Garimella; Adam E M Eltorai; Alan H Daniels
Journal:  Orthop Surg       Date:  2017-06-07       Impact factor: 2.071

Review 3.  Haptic feedback in robot-assisted minimally invasive surgery.

Authors:  Allison M Okamura
Journal:  Curr Opin Urol       Date:  2009-01       Impact factor: 2.309

Review 4.  Frontiers of robotic endoscopic capsules: a review.

Authors:  Gastone Ciuti; R Caliò; D Camboni; L Neri; F Bianchi; A Arezzo; A Koulaouzidis; S Schostek; D Stoyanov; C M Oddo; B Magnani; A Menciassi; M Morino; M O Schurr; P Dario
Journal:  J Microbio Robot       Date:  2016-05-02

5.  DNN-Based Assistant in Laparoscopic Computer-Aided Palpation.

Authors:  Tomohiro Fukuda; Yoshihiro Tanaka; Michitaka Fujiwara; Akihito Sano
Journal:  Front Robot AI       Date:  2018-06-19

6.  A Cylindrical Grip Type of Tactile Device Using Magneto-Responsive Materials Integrated with Surgical Robot Console: Design and Analysis.

Authors:  Yu-Jin Park; Eun-Sang Lee; Seung-Bok Choi
Journal:  Sensors (Basel)       Date:  2022-01-30       Impact factor: 3.576

7.  Artificial palpation in robotic surgery using haptic feedback.

Authors:  Ahmad Abiri; Yen-Yi Juo; Anna Tao; Syed J Askari; Jake Pensa; James W Bisley; Erik P Dutson; Warren S Grundfest
Journal:  Surg Endosc       Date:  2018-09-05       Impact factor: 4.584

  7 in total

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