Smart Bioimpedance Spectroscopy Device for Body Composition Estimation

Autor: Francisco Ortega-Ruiz, Gerardo Barbarov-Rostán, Laura M. Roa, Javier Reina-Tosina, Pilar Cejudo-Ramos, Nuria Aresté-Fosalba, Alfonso Lara-Ruiz, David Naranjo-Hernández
Přispěvatelé: Instituto de Salud Carlos III, Fundación Progreso y Salud, Junta de Andalucía, Fundación Mutua Madrileña, European Commission, Universidad de Sevilla. Departamento de Teoría de la Señal y Comunicaciones, Universidad de Sevilla. TIC203: Ingenieria Biomédica, European Commission (EC)
Rok vydání: 2020
Předmět:
Male
Parameter identification
Computer science
0206 medical engineering
cole model
Phase (waves)
02 engineering and technology
Biochemistry
Article
Analytical Chemistry
Body Mass Index
parameter identification
Bioimpedance spectroscopy
Cole model
Dispersion (optics)
0202 electrical engineering
electronic engineering
information engineering
Electronic engineering
Electric Impedance
Humans
Electrical and Electronic Engineering
Instrumentation
Group delay and phase delay
Monitoring
Physiologic
Anthropometry
020208 electrical & electronic engineering
Body Weight
Middle Aged
Dispersion
020601 biomedical engineering
Atomic and Molecular Physics
and Optics
Body Height
Dielectric Spectroscopy
Body Composition
bioimpedance spectroscopy
Female
dispersion
body composition estimation
Body composition estimation
Algorithms
Software
Zdroj: Digital.CSIC. Repositorio Institucional del CSIC
instname
Sensors (Basel, Switzerland)
Sensors
Volume 20
Issue 1
idUS: Depósito de Investigación de la Universidad de Sevilla
Universidad de Sevilla (US)
idUS. Depósito de Investigación de la Universidad de Sevilla
Popis: This article belongs to the Special Issue Body Sensors Networks for E-Health Applications.
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.
This research was funded in part by the “Fondo de Investigaciones Sanitarias” (Instituto de Salud Carlos III, Spain) under Grants PI15/00306, in part by the “Fundación Progreso y Salud” (Government of Andalucía, Spain) under Grant PIN-0394-2017, in part by “Fundación Mutua Madrileña” under grant VÍA-RENAL, and in part by the “Eurostars Programme”, European Commission, under Grant “FRAIL”.
Databáze: OpenAIRE
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