Cargando…
FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment
Fiber Bragg grating sensors (FBGs) are considered a valid sensing solution for a variety of medical applications. The last decade witnessed the exploitation of these sensors in applications ranging from minimally invasive surgery to biomechanics and monitoring physiological parameters. Recently, pre...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405758/ https://www.ncbi.nlm.nih.gov/pubmed/36005041 http://dx.doi.org/10.3390/bios12080645 |
_version_ | 1784773955768287232 |
---|---|
author | De Tommasi, Francesca Romano, Chiara Lo Presti, Daniela Massaroni, Carlo Carassiti, Massimiliano Schena, Emiliano |
author_facet | De Tommasi, Francesca Romano, Chiara Lo Presti, Daniela Massaroni, Carlo Carassiti, Massimiliano Schena, Emiliano |
author_sort | De Tommasi, Francesca |
collection | PubMed |
description | Fiber Bragg grating sensors (FBGs) are considered a valid sensing solution for a variety of medical applications. The last decade witnessed the exploitation of these sensors in applications ranging from minimally invasive surgery to biomechanics and monitoring physiological parameters. Recently, preliminary studies investigated the potential impact of FBGs in the management of epidural procedures by detecting when the needle reaches the epidural space with the loss of resistance (LOR) technique. In this article, we propose a soft and flexible FBG-based system capable of detecting the LOR, we optimized the solution by considering different designs and materials, and we assessed the feasibility of the optimized soft sensor (SS) in clinical settings. The proposed SS addresses some of the open challenges in the use of a sensing solution during epidural punctures: it has high sensitivity, it is non-invasive, the sensing element does not need to be inserted within the needle, and the clinician can follow the standard clinical practice. Our analysis highlights how the material and the design impact the system response, and thus its performance in this scenario. We also demonstrated the system’s feasibility of detecting the LOR during epidural procedures. |
format | Online Article Text |
id | pubmed-9405758 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94057582022-08-26 FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment De Tommasi, Francesca Romano, Chiara Lo Presti, Daniela Massaroni, Carlo Carassiti, Massimiliano Schena, Emiliano Biosensors (Basel) Article Fiber Bragg grating sensors (FBGs) are considered a valid sensing solution for a variety of medical applications. The last decade witnessed the exploitation of these sensors in applications ranging from minimally invasive surgery to biomechanics and monitoring physiological parameters. Recently, preliminary studies investigated the potential impact of FBGs in the management of epidural procedures by detecting when the needle reaches the epidural space with the loss of resistance (LOR) technique. In this article, we propose a soft and flexible FBG-based system capable of detecting the LOR, we optimized the solution by considering different designs and materials, and we assessed the feasibility of the optimized soft sensor (SS) in clinical settings. The proposed SS addresses some of the open challenges in the use of a sensing solution during epidural punctures: it has high sensitivity, it is non-invasive, the sensing element does not need to be inserted within the needle, and the clinician can follow the standard clinical practice. Our analysis highlights how the material and the design impact the system response, and thus its performance in this scenario. We also demonstrated the system’s feasibility of detecting the LOR during epidural procedures. MDPI 2022-08-16 /pmc/articles/PMC9405758/ /pubmed/36005041 http://dx.doi.org/10.3390/bios12080645 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article De Tommasi, Francesca Romano, Chiara Lo Presti, Daniela Massaroni, Carlo Carassiti, Massimiliano Schena, Emiliano FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment |
title | FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment |
title_full | FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment |
title_fullStr | FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment |
title_full_unstemmed | FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment |
title_short | FBG-Based Soft System for Assisted Epidural Anesthesia: Design Optimization and Clinical Assessment |
title_sort | fbg-based soft system for assisted epidural anesthesia: design optimization and clinical assessment |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9405758/ https://www.ncbi.nlm.nih.gov/pubmed/36005041 http://dx.doi.org/10.3390/bios12080645 |
work_keys_str_mv | AT detommasifrancesca fbgbasedsoftsystemforassistedepiduralanesthesiadesignoptimizationandclinicalassessment AT romanochiara fbgbasedsoftsystemforassistedepiduralanesthesiadesignoptimizationandclinicalassessment AT loprestidaniela fbgbasedsoftsystemforassistedepiduralanesthesiadesignoptimizationandclinicalassessment AT massaronicarlo fbgbasedsoftsystemforassistedepiduralanesthesiadesignoptimizationandclinicalassessment AT carassitimassimiliano fbgbasedsoftsystemforassistedepiduralanesthesiadesignoptimizationandclinicalassessment AT schenaemiliano fbgbasedsoftsystemforassistedepiduralanesthesiadesignoptimizationandclinicalassessment |