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Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life
We describe the development and preliminary evaluation of an innovative low-cost wearable device for gait analysis. We have developed a sensorized sock equipped with 32 piezoresistive textile-based sensors integrated in the heel and metatarsal areas for the detection of signals associated with the c...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915029/ https://www.ncbi.nlm.nih.gov/pubmed/35270907 http://dx.doi.org/10.3390/s22051761 |
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author | Carbonaro, Nicola Arcarisi, Lucia Marinai, Carlotta Laurino, Marco Di Rienzo, Francesco Vallati, Carlo Tognetti, Alessandro |
author_facet | Carbonaro, Nicola Arcarisi, Lucia Marinai, Carlotta Laurino, Marco Di Rienzo, Francesco Vallati, Carlo Tognetti, Alessandro |
author_sort | Carbonaro, Nicola |
collection | PubMed |
description | We describe the development and preliminary evaluation of an innovative low-cost wearable device for gait analysis. We have developed a sensorized sock equipped with 32 piezoresistive textile-based sensors integrated in the heel and metatarsal areas for the detection of signals associated with the contact pressures generated during walking phases. To build the sock, we applied a sensing patch on a commercially available sock. The sensing patch is a stretchable circuit based on the resistive matrix method, in which conductive stripes, based on conductive inks, are coupled with piezoresistive fabrics to form sensing elements. In our sensorized sock, we introduced many relevant improvements to overcome the limitations of the classical resistive matrix method. We preliminary evaluated the sensorized sock on five healthy subjects by performing a total of 80 walking tasks at different speeds for a known distance. Comparison of step count and step-to-step frequency versus reference measurements showed a high correlation between the estimated measure and the real one. |
format | Online Article Text |
id | pubmed-8915029 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89150292022-03-12 Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life Carbonaro, Nicola Arcarisi, Lucia Marinai, Carlotta Laurino, Marco Di Rienzo, Francesco Vallati, Carlo Tognetti, Alessandro Sensors (Basel) Article We describe the development and preliminary evaluation of an innovative low-cost wearable device for gait analysis. We have developed a sensorized sock equipped with 32 piezoresistive textile-based sensors integrated in the heel and metatarsal areas for the detection of signals associated with the contact pressures generated during walking phases. To build the sock, we applied a sensing patch on a commercially available sock. The sensing patch is a stretchable circuit based on the resistive matrix method, in which conductive stripes, based on conductive inks, are coupled with piezoresistive fabrics to form sensing elements. In our sensorized sock, we introduced many relevant improvements to overcome the limitations of the classical resistive matrix method. We preliminary evaluated the sensorized sock on five healthy subjects by performing a total of 80 walking tasks at different speeds for a known distance. Comparison of step count and step-to-step frequency versus reference measurements showed a high correlation between the estimated measure and the real one. MDPI 2022-02-24 /pmc/articles/PMC8915029/ /pubmed/35270907 http://dx.doi.org/10.3390/s22051761 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 Carbonaro, Nicola Arcarisi, Lucia Marinai, Carlotta Laurino, Marco Di Rienzo, Francesco Vallati, Carlo Tognetti, Alessandro Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life |
title | Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life |
title_full | Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life |
title_fullStr | Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life |
title_full_unstemmed | Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life |
title_short | Exploiting Resistive Matrix Technology to Build a Stretchable Sensorised Sock for Gait Analysis in Daily Life |
title_sort | exploiting resistive matrix technology to build a stretchable sensorised sock for gait analysis in daily life |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8915029/ https://www.ncbi.nlm.nih.gov/pubmed/35270907 http://dx.doi.org/10.3390/s22051761 |
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