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Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery
In recent years, with the rapid development of minimally invasive surgery (MIS), the lack of force sensing associated with the surgical instrument used in MIS has been increasingly a desirable technology amongst clinicians. However, it is still an open technical challenge to date since most existing...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808597/ https://www.ncbi.nlm.nih.gov/pubmed/35127835 http://dx.doi.org/10.3389/frobt.2021.773166 |
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author | Li, Yue Hu, Jian Cao, Danqian Wang, Stephen Dasgupta, Prokar Liu, Hongbin |
author_facet | Li, Yue Hu, Jian Cao, Danqian Wang, Stephen Dasgupta, Prokar Liu, Hongbin |
author_sort | Li, Yue |
collection | PubMed |
description | In recent years, with the rapid development of minimally invasive surgery (MIS), the lack of force sensing associated with the surgical instrument used in MIS has been increasingly a desirable technology amongst clinicians. However, it is still an open technical challenge to date since most existing tactile sensing principles are not suitable to small 3-dimensional (3D) curved surfaces often seen in surgical instruments, and as a result multi-point force detection cannot be realized. In this paper, a novel optical waveguide-based sensor was proposed to deal with the above research gap. A sensor prototype for curved surfaces resembling the surface of dissection forceps was developed and experimentally evaluated. The static parameters and dynamic response characteristics of the sensor were measured. Results show that the static hysteresis error is less than 3%, the resolution is 0.026 N, and the repeatability is less than 1.5%. Under a frequency of 12.5 Hz, the sensor could quickly measure the variation of the force signal. We demonstrated that this small and high-precision sensitive sensor design is promising to be used for creating multiple-point tactile sensing for minimally invasive surgical instruments with 3D surfaces. |
format | Online Article Text |
id | pubmed-8808597 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-88085972022-02-03 Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery Li, Yue Hu, Jian Cao, Danqian Wang, Stephen Dasgupta, Prokar Liu, Hongbin Front Robot AI Robotics and AI In recent years, with the rapid development of minimally invasive surgery (MIS), the lack of force sensing associated with the surgical instrument used in MIS has been increasingly a desirable technology amongst clinicians. However, it is still an open technical challenge to date since most existing tactile sensing principles are not suitable to small 3-dimensional (3D) curved surfaces often seen in surgical instruments, and as a result multi-point force detection cannot be realized. In this paper, a novel optical waveguide-based sensor was proposed to deal with the above research gap. A sensor prototype for curved surfaces resembling the surface of dissection forceps was developed and experimentally evaluated. The static parameters and dynamic response characteristics of the sensor were measured. Results show that the static hysteresis error is less than 3%, the resolution is 0.026 N, and the repeatability is less than 1.5%. Under a frequency of 12.5 Hz, the sensor could quickly measure the variation of the force signal. We demonstrated that this small and high-precision sensitive sensor design is promising to be used for creating multiple-point tactile sensing for minimally invasive surgical instruments with 3D surfaces. Frontiers Media S.A. 2022-01-19 /pmc/articles/PMC8808597/ /pubmed/35127835 http://dx.doi.org/10.3389/frobt.2021.773166 Text en Copyright © 2022 Li, Hu, Cao, Wang, Dasgupta and Liu. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Robotics and AI Li, Yue Hu, Jian Cao, Danqian Wang, Stephen Dasgupta, Prokar Liu, Hongbin Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery |
title | Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery |
title_full | Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery |
title_fullStr | Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery |
title_full_unstemmed | Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery |
title_short | Optical-Waveguide Based Tactile Sensing for Surgical Instruments of Minimally Invasive Surgery |
title_sort | optical-waveguide based tactile sensing for surgical instruments of minimally invasive surgery |
topic | Robotics and AI |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8808597/ https://www.ncbi.nlm.nih.gov/pubmed/35127835 http://dx.doi.org/10.3389/frobt.2021.773166 |
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