Cargando…
Bioimpedance Sensor and Methodology for Acute Pain Monitoring
The paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical an...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729453/ https://www.ncbi.nlm.nih.gov/pubmed/33256120 http://dx.doi.org/10.3390/s20236765 |
_version_ | 1783621461929361408 |
---|---|
author | Ghita, Mihaela Neckebroek, Martine Juchem, Jasper Copot, Dana Muresan, Cristina I. Ionescu, Clara M. |
author_facet | Ghita, Mihaela Neckebroek, Martine Juchem, Jasper Copot, Dana Muresan, Cristina I. Ionescu, Clara M. |
author_sort | Ghita, Mihaela |
collection | PubMed |
description | The paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical and experimental analysis. A non-invasive, low-cost reliable sensor to measure skin impedance is designed with off-the-shelf components. This is a second generation prototype for pain detection, quantification, and modeling, with the objective to be used in fully anesthetized patients undergoing surgery. The 2D and 3D time–frequency, multi-frequency evaluation of impedance data is based on broadly available signal processing tools. Furthermore, fractional-order impedance models are implied to provide an indication of change in tissue dynamics correlated with absence/presence of nociceptor stimulation. The unique features of the proposed sensor enhancements are described and illustrated here based on mechanical and thermal tests and further reinforced with previous studies from our first generation prototype. |
format | Online Article Text |
id | pubmed-7729453 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-77294532020-12-12 Bioimpedance Sensor and Methodology for Acute Pain Monitoring Ghita, Mihaela Neckebroek, Martine Juchem, Jasper Copot, Dana Muresan, Cristina I. Ionescu, Clara M. Sensors (Basel) Article The paper aims to revive the interest in bioimpedance analysis for pain studies in communicating and non-communicating (anesthetized) individuals for monitoring purpose. The plea for exploitation of full potential offered by the complex (bio)impedance measurement is emphasized through theoretical and experimental analysis. A non-invasive, low-cost reliable sensor to measure skin impedance is designed with off-the-shelf components. This is a second generation prototype for pain detection, quantification, and modeling, with the objective to be used in fully anesthetized patients undergoing surgery. The 2D and 3D time–frequency, multi-frequency evaluation of impedance data is based on broadly available signal processing tools. Furthermore, fractional-order impedance models are implied to provide an indication of change in tissue dynamics correlated with absence/presence of nociceptor stimulation. The unique features of the proposed sensor enhancements are described and illustrated here based on mechanical and thermal tests and further reinforced with previous studies from our first generation prototype. MDPI 2020-11-26 /pmc/articles/PMC7729453/ /pubmed/33256120 http://dx.doi.org/10.3390/s20236765 Text en © 2020 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 Ghita, Mihaela Neckebroek, Martine Juchem, Jasper Copot, Dana Muresan, Cristina I. Ionescu, Clara M. Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
title | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
title_full | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
title_fullStr | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
title_full_unstemmed | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
title_short | Bioimpedance Sensor and Methodology for Acute Pain Monitoring |
title_sort | bioimpedance sensor and methodology for acute pain monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7729453/ https://www.ncbi.nlm.nih.gov/pubmed/33256120 http://dx.doi.org/10.3390/s20236765 |
work_keys_str_mv | AT ghitamihaela bioimpedancesensorandmethodologyforacutepainmonitoring AT neckebroekmartine bioimpedancesensorandmethodologyforacutepainmonitoring AT juchemjasper bioimpedancesensorandmethodologyforacutepainmonitoring AT copotdana bioimpedancesensorandmethodologyforacutepainmonitoring AT muresancristinai bioimpedancesensorandmethodologyforacutepainmonitoring AT ionescuclaram bioimpedancesensorandmethodologyforacutepainmonitoring |