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A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients

In this study, a novel wearable system for the identification of compensatory trunk movements (CTMs) in post-stroke hemiplegic patients is presented. The device is composed of seven soft sensing elements (SSEs) based on fiber Bragg grating (FBG) technology. Each SSE consists of a single FBG encapsul...

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Autores principales: Lo Presti, Daniela, Zaltieri, Martina, Bravi, Marco, Morrone, Michelangelo, Caponero, Michele Arturo, Schena, Emiliano, Sterzi, Silvia, Massaroni, Carlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963020/
https://www.ncbi.nlm.nih.gov/pubmed/35214287
http://dx.doi.org/10.3390/s22041386
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author Lo Presti, Daniela
Zaltieri, Martina
Bravi, Marco
Morrone, Michelangelo
Caponero, Michele Arturo
Schena, Emiliano
Sterzi, Silvia
Massaroni, Carlo
author_facet Lo Presti, Daniela
Zaltieri, Martina
Bravi, Marco
Morrone, Michelangelo
Caponero, Michele Arturo
Schena, Emiliano
Sterzi, Silvia
Massaroni, Carlo
author_sort Lo Presti, Daniela
collection PubMed
description In this study, a novel wearable system for the identification of compensatory trunk movements (CTMs) in post-stroke hemiplegic patients is presented. The device is composed of seven soft sensing elements (SSEs) based on fiber Bragg grating (FBG) technology. Each SSE consists of a single FBG encapsulated into a flexible matrix to enhance the sensor’s robustness and improve its compliance with the human body. The FBG’s small size, light weight, multiplexing capability, and biocompatibility make the proposed wearable system suitable for multi-point measurements without any movement restriction. Firstly, its manufacturing process is presented, together with the SSEs’ mechanical characterization to strain. Results of the metrological characterization showed a linear response of each SSE in the operating range. Then, the feasibility assessment of the proposed system is described. In particular, the device’s capability of detecting CTMs was assessed on 10 healthy volunteers and eight hemiplegic patients while performing three tasks which are representative of typical everyday life actions. The wearable system showed good potential in detecting CTMs. This promising result may foster the use of the proposed device on post-stroke patients, aiming at assessing the proper course of the rehabilitation process both in clinical and domestic settings. Moreover, its use may aid in defining tailored strategies to improve post-stoke patients’ motor recovery and quality of life.
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spelling pubmed-89630202022-03-30 A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients Lo Presti, Daniela Zaltieri, Martina Bravi, Marco Morrone, Michelangelo Caponero, Michele Arturo Schena, Emiliano Sterzi, Silvia Massaroni, Carlo Sensors (Basel) Article In this study, a novel wearable system for the identification of compensatory trunk movements (CTMs) in post-stroke hemiplegic patients is presented. The device is composed of seven soft sensing elements (SSEs) based on fiber Bragg grating (FBG) technology. Each SSE consists of a single FBG encapsulated into a flexible matrix to enhance the sensor’s robustness and improve its compliance with the human body. The FBG’s small size, light weight, multiplexing capability, and biocompatibility make the proposed wearable system suitable for multi-point measurements without any movement restriction. Firstly, its manufacturing process is presented, together with the SSEs’ mechanical characterization to strain. Results of the metrological characterization showed a linear response of each SSE in the operating range. Then, the feasibility assessment of the proposed system is described. In particular, the device’s capability of detecting CTMs was assessed on 10 healthy volunteers and eight hemiplegic patients while performing three tasks which are representative of typical everyday life actions. The wearable system showed good potential in detecting CTMs. This promising result may foster the use of the proposed device on post-stroke patients, aiming at assessing the proper course of the rehabilitation process both in clinical and domestic settings. Moreover, its use may aid in defining tailored strategies to improve post-stoke patients’ motor recovery and quality of life. MDPI 2022-02-11 /pmc/articles/PMC8963020/ /pubmed/35214287 http://dx.doi.org/10.3390/s22041386 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
Lo Presti, Daniela
Zaltieri, Martina
Bravi, Marco
Morrone, Michelangelo
Caponero, Michele Arturo
Schena, Emiliano
Sterzi, Silvia
Massaroni, Carlo
A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients
title A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients
title_full A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients
title_fullStr A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients
title_full_unstemmed A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients
title_short A Wearable System Composed of FBG-Based Soft Sensors for Trunk Compensatory Movements Detection in Post-Stroke Hemiplegic Patients
title_sort wearable system composed of fbg-based soft sensors for trunk compensatory movements detection in post-stroke hemiplegic patients
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8963020/
https://www.ncbi.nlm.nih.gov/pubmed/35214287
http://dx.doi.org/10.3390/s22041386
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