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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...

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Autores principales: De Tommasi, Francesca, Romano, Chiara, Lo Presti, Daniela, Massaroni, Carlo, Carassiti, Massimiliano, Schena, Emiliano
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
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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.
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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
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