Literature DB >> 30082239

Haptic Feedback, Force Feedback, and Force-Sensing in Simulation Training for Laparoscopy: A Systematic Overview.

Evelien M Overtoom1, Tim Horeman2, Frank-Willem Jansen3, Jenny Dankelman2, Henk W R Schreuder4.   

Abstract

OBJECTIVES: To provide a systematic overview of the literature assessing the value of haptic and force feedback in current simulators teaching laparoscopic surgical skills. DATA SOURCES: The databases of Pubmed, Cochrane, Embase, Web of Science, and Google Scholar were searched to retrieve relevant studies published until January 31st, 2017. The search included laparoscopic surgery, simulation, and haptic or force feedback and all relevant synonyms.
METHODS: Duplicates were removed, and titles and abstracts screened. The remaining articles were subsequently screened full text and included in this review if they followed the inclusion criteria. A total of 2 types of feedback have been analyzed and will be discussed separately: haptic- and force feedback.
RESULTS: A total of 4023 articles were found, of which 87 could be used in this review. A descriptive analysis of the data is provided. Results of the added value of haptic interface devices in virtual reality are variable. Haptic feedback is most important for more complex tasks. The interface devices do not require the highest level of fidelity. Haptic feedback leads to a shorter learning curve with a steadier upward trend. Concerning force feedback, force parameters are measured through force sensing systems in the instrument and/or the environment. These parameters, especially in combination with motion parameters, provide box trainers with an objective evaluation of laparoscopic skills. Feedback of force-use both real time and postpractice has been shown to improve training.
CONCLUSIONS: Haptic feedback is added to virtual reality simulators to increase the fidelity and thereby improve training effect. Variable results have been found from adding haptic feedback. It is most important for more complex tasks, but results in only minor improvements for novice surgeons. Force parameters and force feedback in box trainers have been shown to improve training results.
Copyright © 2018 Association of Program Directors in Surgery. Published by Elsevier Inc. All rights reserved.

Keywords:  Force feedback; Force sensing; Haptic feedback; Laparoscopy; Medical Knowledge; Patient Care; Practice-Based Learning and Improvement; Simulation; Training

Mesh:

Year:  2018        PMID: 30082239     DOI: 10.1016/j.jsurg.2018.06.008

Source DB:  PubMed          Journal:  J Surg Educ        ISSN: 1878-7452            Impact factor:   2.891


  10 in total

1.  "Inform the Head, Give Dexterity to the Hand, Familiarise the Heart": Seeing and Using Digitised Eighteenth-Century Specimens in a Modern Medical Curriculum.

Authors:  Francis Osis
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

Review 2.  Tactile Sensing for Minimally Invasive Surgery: Conventional Methods and Potential Emerging Tactile Technologies.

Authors:  Wael Othman; Zhi-Han A Lai; Carlos Abril; Juan S Barajas-Gamboa; Ricard Corcelles; Matthew Kroh; Mohammad A Qasaimeh
Journal:  Front Robot AI       Date:  2022-01-07

3.  Stiffness Assessment and Lump Detection in Minimally Invasive Surgery Using In-House Developed Smart Laparoscopic Forceps.

Authors:  Wael Othman; Kojo E Vandyck; Carlos Abril; Juan S Barajas-Gamboa; Juan P Pantoja; Matthew Kroh; Mohammad A Qasaimeh
Journal:  IEEE J Transl Eng Health Med       Date:  2022-06-08

4.  A Clamping Force Estimation Method Based on a Joint Torque Disturbance Observer Using PSO-BPNN for Cable-Driven Surgical Robot End-Effectors.

Authors:  Zhengyu Wang; Daoming Wang; Bing Chen; Lingtao Yu; Jun Qian; Bin Zi
Journal:  Sensors (Basel)       Date:  2019-12-01       Impact factor: 3.576

Review 5.  In-Vivo Microsystems: A Review.

Authors:  Paddy French
Journal:  Sensors (Basel)       Date:  2020-09-01       Impact factor: 3.576

6.  Development of a Robotic Surgery Training System.

Authors:  Robin Julia Trute; Carlos Suárez Zapico; Andreas Christou; Daniel Layeghi; Stewart Craig; Mustafa Suphi Erden
Journal:  Front Robot AI       Date:  2022-01-31

7.  Rendering Immersive Haptic Force Feedback via Neuromuscular Electrical Stimulation.

Authors:  Elisa Galofaro; Erika D'Antonio; Nicola Lotti; Lorenzo Masia
Journal:  Sensors (Basel)       Date:  2022-07-06       Impact factor: 3.847

8.  Haptic exploration improves performance of a laparoscopic training task.

Authors:  H Jaap Bonjer; Tim Horeman; Roelf R Postema; Leonie A van Gastel; Sem F Hardon
Journal:  Surg Endosc       Date:  2020-09-01       Impact factor: 4.584

9.  Does Virtual Reality Improve Procedural Completion and Accuracy in an Intramedullary Tibial Nail Procedure? A Randomized Control Trial.

Authors:  Mark D Orland; Michael J Patetta; Michael Wieser; Erdan Kayupov; Mark H Gonzalez
Journal:  Clin Orthop Relat Res       Date:  2020-09       Impact factor: 4.755

Review 10.  Mixed reality applications in urology: Requirements and future potential.

Authors:  Gerd Reis; Mehmet Yilmaz; Jason Rambach; Alain Pagani; Rodrigo Suarez-Ibarrola; Arkadiusz Miernik; Paul Lesur; Nareg Minaskan
Journal:  Ann Med Surg (Lond)       Date:  2021-05-13
  10 in total

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