Cargando…

Characterisation of Morphic Sensors for Body Volume and Shape Applications

Stretchable conductive materials are originally conceived as radio frequency (RF) and electromagnetic interference (EMI) shielding materials, and, under stretch, they generally function as distributed strain-gauges. These commercially available conductive elastomers have found their space in low pow...

Descripción completa

Detalles Bibliográficos
Autores principales: El Arja, Sami, Jayarathna, Titus, Naik, Ganesh, Breen, Paul, Gargiulo, Gaetano
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983190/
https://www.ncbi.nlm.nih.gov/pubmed/31877893
http://dx.doi.org/10.3390/s20010090
_version_ 1783491462982270976
author El Arja, Sami
Jayarathna, Titus
Naik, Ganesh
Breen, Paul
Gargiulo, Gaetano
author_facet El Arja, Sami
Jayarathna, Titus
Naik, Ganesh
Breen, Paul
Gargiulo, Gaetano
author_sort El Arja, Sami
collection PubMed
description Stretchable conductive materials are originally conceived as radio frequency (RF) and electromagnetic interference (EMI) shielding materials, and, under stretch, they generally function as distributed strain-gauges. These commercially available conductive elastomers have found their space in low power health monitoring systems, for example, to monitor respiratory and cardiac functions. Conductive elastomers do not behave linearly due to material constraints; hence, when used as a sensor, a full characterisation to identify ideal operating ranges are required. In this paper, we studied how the continuous stretch cycles affected the material electrical and physical properties in different embodiment impressed by bodily volume change. We simulated the stretch associated with breathing using a bespoke stress rig to ensure reproducibility of results. The stretch rig is capable of providing constant sinusoidal waves in the physiological ranges of extension and frequency. The material performances is evaluated assessing the total harmonic distortion (THD), signal-to-noise ratio (SNR), correlation coefficient, peak to peak (P-P) amplitude, accuracy, repeatability, hysteresis, delay, and washability. The results showed that, among the three controlled variables, stretch length, stretch frequency and fabric width, the most significant factor to the signal quality is the stretch length. The ideal working region is within 2% of the original length. The material cut in strips of >3 mm show more reliable to handle a variety of stretch parameter without losing its internal characteristics and electrical properties.
format Online
Article
Text
id pubmed-6983190
institution National Center for Biotechnology Information
language English
publishDate 2019
publisher MDPI
record_format MEDLINE/PubMed
spelling pubmed-69831902020-02-06 Characterisation of Morphic Sensors for Body Volume and Shape Applications El Arja, Sami Jayarathna, Titus Naik, Ganesh Breen, Paul Gargiulo, Gaetano Sensors (Basel) Article Stretchable conductive materials are originally conceived as radio frequency (RF) and electromagnetic interference (EMI) shielding materials, and, under stretch, they generally function as distributed strain-gauges. These commercially available conductive elastomers have found their space in low power health monitoring systems, for example, to monitor respiratory and cardiac functions. Conductive elastomers do not behave linearly due to material constraints; hence, when used as a sensor, a full characterisation to identify ideal operating ranges are required. In this paper, we studied how the continuous stretch cycles affected the material electrical and physical properties in different embodiment impressed by bodily volume change. We simulated the stretch associated with breathing using a bespoke stress rig to ensure reproducibility of results. The stretch rig is capable of providing constant sinusoidal waves in the physiological ranges of extension and frequency. The material performances is evaluated assessing the total harmonic distortion (THD), signal-to-noise ratio (SNR), correlation coefficient, peak to peak (P-P) amplitude, accuracy, repeatability, hysteresis, delay, and washability. The results showed that, among the three controlled variables, stretch length, stretch frequency and fabric width, the most significant factor to the signal quality is the stretch length. The ideal working region is within 2% of the original length. The material cut in strips of >3 mm show more reliable to handle a variety of stretch parameter without losing its internal characteristics and electrical properties. MDPI 2019-12-22 /pmc/articles/PMC6983190/ /pubmed/31877893 http://dx.doi.org/10.3390/s20010090 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
El Arja, Sami
Jayarathna, Titus
Naik, Ganesh
Breen, Paul
Gargiulo, Gaetano
Characterisation of Morphic Sensors for Body Volume and Shape Applications
title Characterisation of Morphic Sensors for Body Volume and Shape Applications
title_full Characterisation of Morphic Sensors for Body Volume and Shape Applications
title_fullStr Characterisation of Morphic Sensors for Body Volume and Shape Applications
title_full_unstemmed Characterisation of Morphic Sensors for Body Volume and Shape Applications
title_short Characterisation of Morphic Sensors for Body Volume and Shape Applications
title_sort characterisation of morphic sensors for body volume and shape applications
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983190/
https://www.ncbi.nlm.nih.gov/pubmed/31877893
http://dx.doi.org/10.3390/s20010090
work_keys_str_mv AT elarjasami characterisationofmorphicsensorsforbodyvolumeandshapeapplications
AT jayarathnatitus characterisationofmorphicsensorsforbodyvolumeandshapeapplications
AT naikganesh characterisationofmorphicsensorsforbodyvolumeandshapeapplications
AT breenpaul characterisationofmorphicsensorsforbodyvolumeandshapeapplications
AT gargiulogaetano characterisationofmorphicsensorsforbodyvolumeandshapeapplications