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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...

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Autores principales: Naranjo-Hernández, David, Reina-Tosina, Javier, Roa, Laura M., Barbarov-Rostán, Gerardo, Aresté-Fosalba, Nuria, Lara-Ruiz, Alfonso, Cejudo-Ramos, Pilar, Ortega-Ruiz, Francisco
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
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.
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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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