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Smart Bioimpedance Spectroscopy Device for Body Composition Estimation
The purpose of this work is to describe a first approach to a smart bioimpedance spectroscopy device for its application to the estimation of body composition. The proposed device is capable of carrying out bioimpedance measurements in multiple configurable frequencies, processing the data to obtain...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983241/ https://www.ncbi.nlm.nih.gov/pubmed/31877699 http://dx.doi.org/10.3390/s20010070 |
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author | Naranjo-Hernández, David Reina-Tosina, Javier Roa, Laura M. Barbarov-Rostán, Gerardo Aresté-Fosalba, Nuria Lara-Ruiz, Alfonso Cejudo-Ramos, Pilar Ortega-Ruiz, Francisco |
author_facet | Naranjo-Hernández, David Reina-Tosina, Javier Roa, Laura M. Barbarov-Rostán, Gerardo Aresté-Fosalba, Nuria Lara-Ruiz, Alfonso Cejudo-Ramos, Pilar Ortega-Ruiz, Francisco |
author_sort | Naranjo-Hernández, David |
collection | PubMed |
description | The purpose of this work is to describe a first approach to a smart bioimpedance spectroscopy device for its application to the estimation of body composition. The proposed device is capable of carrying out bioimpedance measurements in multiple configurable frequencies, processing the data to obtain the modulus and the bioimpedance phase in each of the frequencies, and transmitting the processed information wirelessly. Another novelty of this work is a new algorithm for the identification of Cole model parameters, which is the basis of body composition estimation through bioimpedance spectroscopy analysis. Against other proposals, the main advantages of the proposed method are its robustness against parasitic effects by employing an extended version of Cole model with phase delay and three dispersions, its simplicity and low computational load. The results obtained in a validation study with respiratory patients show the accuracy and feasibility of the proposed technology for bioimpedance measurements. The precision and validity of the algorithm was also proven in a validation study with peritoneal dialysis patients. The proposed method was the most accurate compared with other existing algorithms. Moreover, in those cases affected by parasitic effects the proposed algorithm provided better approximations to the bioimpedance values than a reference device. |
format | Online Article Text |
id | pubmed-6983241 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-69832412020-02-06 Smart Bioimpedance Spectroscopy Device for Body Composition Estimation Naranjo-Hernández, David Reina-Tosina, Javier Roa, Laura M. Barbarov-Rostán, Gerardo Aresté-Fosalba, Nuria Lara-Ruiz, Alfonso Cejudo-Ramos, Pilar Ortega-Ruiz, Francisco Sensors (Basel) Article The purpose of this work is to describe a first approach to a smart bioimpedance spectroscopy device for its application to the estimation of body composition. The proposed device is capable of carrying out bioimpedance measurements in multiple configurable frequencies, processing the data to obtain the modulus and the bioimpedance phase in each of the frequencies, and transmitting the processed information wirelessly. Another novelty of this work is a new algorithm for the identification of Cole model parameters, which is the basis of body composition estimation through bioimpedance spectroscopy analysis. Against other proposals, the main advantages of the proposed method are its robustness against parasitic effects by employing an extended version of Cole model with phase delay and three dispersions, its simplicity and low computational load. The results obtained in a validation study with respiratory patients show the accuracy and feasibility of the proposed technology for bioimpedance measurements. The precision and validity of the algorithm was also proven in a validation study with peritoneal dialysis patients. The proposed method was the most accurate compared with other existing algorithms. Moreover, in those cases affected by parasitic effects the proposed algorithm provided better approximations to the bioimpedance values than a reference device. MDPI 2019-12-21 /pmc/articles/PMC6983241/ /pubmed/31877699 http://dx.doi.org/10.3390/s20010070 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 Naranjo-Hernández, David Reina-Tosina, Javier Roa, Laura M. Barbarov-Rostán, Gerardo Aresté-Fosalba, Nuria Lara-Ruiz, Alfonso Cejudo-Ramos, Pilar Ortega-Ruiz, Francisco Smart Bioimpedance Spectroscopy Device for Body Composition Estimation |
title | Smart Bioimpedance Spectroscopy Device for Body Composition Estimation |
title_full | Smart Bioimpedance Spectroscopy Device for Body Composition Estimation |
title_fullStr | Smart Bioimpedance Spectroscopy Device for Body Composition Estimation |
title_full_unstemmed | Smart Bioimpedance Spectroscopy Device for Body Composition Estimation |
title_short | Smart Bioimpedance Spectroscopy Device for Body Composition Estimation |
title_sort | smart bioimpedance spectroscopy device for body composition estimation |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983241/ https://www.ncbi.nlm.nih.gov/pubmed/31877699 http://dx.doi.org/10.3390/s20010070 |
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