Publication:
Smart Bioimpedance Spectroscopy Device for Body Composition Estimation.

dc.contributor.authorNaranjo-Hernández, David
dc.contributor.authorReina-Tosina, Javier
dc.contributor.authorRoa, Laura M
dc.contributor.authorBarbarov-Rostán, Gerardo
dc.contributor.authorAresté-Fosalba, Nuria
dc.contributor.authorLara-Ruiz, Alfonso
dc.contributor.authorCejudo-Ramos, Pilar
dc.contributor.authorOrtega-Ruiz, Francisco
dc.date.accessioned2023-02-08T14:38:49Z
dc.date.available2023-02-08T14:38:49Z
dc.date.issued2019-12-21
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.
dc.identifier.doi10.3390/s20010070
dc.identifier.essn1424-8220
dc.identifier.pmcPMC6983241
dc.identifier.pmid31877699
dc.identifier.pubmedURLhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC6983241/pdf
dc.identifier.unpaywallURLhttps://www.mdpi.com/1424-8220/20/1/70/pdf?version=1576914895
dc.identifier.urihttp://hdl.handle.net/10668/14882
dc.issue.number1
dc.journal.titleSensors (Basel, Switzerland)
dc.journal.titleabbreviationSensors (Basel)
dc.language.isoen
dc.organizationIBIS
dc.organizationIBIS
dc.pubmedtypeJournal Article
dc.rightsAttribution 4.0 International
dc.rights.accessRightsopen access
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectbioimpedance spectroscopy
dc.subjectbody composition estimation
dc.subjectcole model
dc.subjectdispersion
dc.subjectparameter identification
dc.subject.meshAlgorithms
dc.subject.meshAnthropometry
dc.subject.meshBody Composition
dc.subject.meshBody Height
dc.subject.meshBody Mass Index
dc.subject.meshBody Weight
dc.subject.meshDielectric Spectroscopy
dc.subject.meshElectric Impedance
dc.subject.meshFemale
dc.subject.meshHumans
dc.subject.meshMale
dc.subject.meshMiddle Aged
dc.subject.meshMonitoring, Physiologic
dc.subject.meshSoftware
dc.titleSmart Bioimpedance Spectroscopy Device for Body Composition Estimation.
dc.typeresearch article
dc.type.hasVersionVoR
dc.volume.number20
dspace.entity.typePublication

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