ArticleSensors (Basel, Switzerland)2019
Smart Bioimpedance Spectroscopy Device for Body Composition Estimation.
Article in Sensors (Basel, Switzerland), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 34 citations in OpenAlex.
- Development and Validation in Porcine and Human Models of a Bioimpedance Spectroscopy System for the Objective Assessment of Kidney Graft Viability.Sensors (Basel, Switzerland) · 2025Article
- Smart Bioimpedance Device for the Assessment of Peripheral Muscles in Patients with COPD.Sensors (Basel, Switzerland) · 2024Article
- A Taxonomy for Health Information Systems.Journal of medical Internet research · 2024Review
- Glucose metabolism in gestational diabetes and their relationship with fat mass / muscle mass index.European journal of obstetrics & gynecology and reproductive biology: X · 2024Article
- Design and Manufacturing of Equipment for Investigation of Low Frequency Bioimpedance.Micromachines · 2022Article
- Comparative Study of Measurement Methods for Embedded Bioimpedance Spectroscopy Systems.Sensors (Basel, Switzerland) · 2022Article
- Preliminary study on parameterization of raw electrical bioimpedance data with 3 frequencies.Scientific reports · 2022Article
- Scientific Developments and New Technological Trajectories in Sensor Research.Sensors (Basel, Switzerland) · 2021Article
- Electrical Tomography Reconstruction Using Reconfigurable Waveforms in a FPGA.Sensors (Basel, Switzerland) · 2021Article
- Bioimpedance Sensor and Methodology for Acute Pain Monitoring.Sensors (Basel, Switzerland) · 2020Article
- Physical Validation of a Residual Impedance Rejection Method during Ultra-Low Frequency Bio-Impedance Spectral Measurements.Sensors (Basel, Switzerland) · 2020Article
- Special Issue "Body Sensors Networks for E-Health Applications".Sensors (Basel, Switzerland) · 2020Article
Corrections and comments
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Authors and funding
8 authors at 3 institutions in 1 country.
Funding
Abstract
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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Registered trials
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