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dc.creatorNaranjo Hernández, Davides
dc.creatorReina Tosina, Luis Javieres
dc.creatorRoa Romero, Laura Maríaes
dc.creatorBarbarov-Rostán, Gerardoes
dc.creatorAresté Fosalba, Nuriaes
dc.creatorLara Ruiz, Alfonsoes
dc.creatorCejudo Ramos, Pilares
dc.creatorOrtega Ruiz, Franciscoes
dc.date.accessioned2020-07-09T16:39:46Z
dc.date.available2020-07-09T16:39:46Z
dc.date.issued2019-12
dc.identifier.citationNaranjo Hernández, D., Reina Tosina, L.J., Roa Romero, L.M., Barbarov-Rostán, G., Aresté Fosalba, N., Lara Ruiz, A.,...,Ortega Ruiz, F. (2019). Smart Bioimpedance Spectroscopy Device for Body Composition Estimation. Sensors, 20 (1), Article number 70.
dc.identifier.issnEISSN 1424-8220es
dc.identifier.urihttps://hdl.handle.net/11441/99170
dc.description.abstractThe 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.es
dc.description.sponsorshipMinisterio de Economía y Competitividad (Instituto de Salud Carlos III) PI15/00306es
dc.description.sponsorshipJunta de Andalucía PIN-0394-2017es
dc.description.sponsorshipUnión Europea "FRAIL"es
dc.formatapplication/pdfes
dc.format.extent27 p.es
dc.language.isoenges
dc.publisherMDPIes
dc.relation.ispartofSensors, 20 (1), Article number 70.
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectBioimpedance spectroscopyes
dc.subjectBody composition estimationes
dc.subjectCole modeles
dc.subjectDispersiones
dc.subjectParameter identificationes
dc.titleSmart Bioimpedance Spectroscopy Device for Body Composition Estimationes
dc.typeinfo:eu-repo/semantics/articlees
dc.type.versioninfo:eu-repo/semantics/publishedVersiones
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.contributor.affiliationUniversidad de Sevilla. Departamento de Teoría de la Señal y Comunicacioneses
dc.relation.projectIDPI15/00306es
dc.relation.projectIDPIN-0394-2017es
dc.relation.publisherversionhttps://doi.org/10.3390/s20010070es
dc.identifier.doi10.3390/s20010070es
dc.contributor.groupUniversidad de Sevilla. TIC203: Ingenieria Biomédicaes
dc.journaltitleSensorses
dc.publication.volumen20es
dc.publication.issue1es
dc.publication.initialPageArticle number 70es
dc.contributor.funderInstituto de Salud Carlos IIIes
dc.contributor.funderJunta de Andalucíaes
dc.contributor.funderEuropean Commission (EC)es

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