Literature DB >> 22738873

Influence of electrode mismatch on Cole parameter estimation from total right side electrical bioimpedance spectroscopy measurements.

Rubén Buendía1, Paco Bogónez-Franco, Lexa Nescolarde, Fernando Seoane.   

Abstract

Applications based on measurements of Electrical Bioimpedance (EBI) spectroscopy analysis, like assessment of body composition, have proliferated in the past years. Currently Body Composition Assessment (BCA) based in Bioimpedance Spectroscopy (BIS) analysis relays on an accurate estimation of the Cole parameters R(0) and R(∞). A recent study by Bogonez-Franco et al. has proposed electrode mismatch as source of remarkable artefacts in BIS measurements. Using Total Right Side BIS measurements from the aforementioned study, this work has focused on the influence of electrode mismatch on the estimation of R(0) and R(∞) using the Non-Linear Least Square curve fitting technique on the modulus of the impedance. The results show that electrode mismatch on the voltage sensing electrodes produces an overestimation of the impedance spectrum leading to a wrong estimation of the parameters R(0) and R(∞), and consequently obtaining values around 4% larger that the values obtained from BIS without electrode mismatch. The specific key factors behind electrode mismatch or its influence on the analysis of single and spectroscopy measurements have not been investigated yet, no compensation or correction technique is available to overcome the deviation produced on the EBI measurement. Since textile-enabled EBI applications using dry textrodes, i.e. textile electrodes with dry skin-electrode interfaces and potentially large values of electrode polarization impedance are more prone to produce electrode mismatch, the lack of a correction or compensation technique might hinder the proliferation of textile-enabled EBI applications for personalized healthcare monitoring.
Copyright © 2012 IPEM. Published by Elsevier Ltd. All rights reserved.

Mesh:

Year:  2012        PMID: 22738873     DOI: 10.1016/j.medengphy.2012.05.011

Source DB:  PubMed          Journal:  Med Eng Phys        ISSN: 1350-4533            Impact factor:   2.242


  7 in total

1.  Smart Multi-Frequency Bioelectrical Impedance Spectrometer for BIA and BIVA Applications.

Authors:  Rene Harder; Andre Diedrich; Jonathan S Whitfield; Macie S Buchowski; John B Pietsch; Franz J Baudenbacher
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2016-02-03       Impact factor: 3.833

2.  Mean Expected Error in Prediction of Total Body Water: A True Accuracy Comparison between Bioimpedance Spectroscopy and Single Frequency Regression Equations.

Authors:  Fernando Seoane; Shirin Abtahi; Farhad Abtahi; Lars Ellegård; Gudmundur Johannsson; Ingvar Bosaeus; Leigh C Ward
Journal:  Biomed Res Int       Date:  2015-06-02       Impact factor: 3.411

3.  Multi-frequency bioimpedance in human muscle assessment.

Authors:  Else Marie Bartels; Emma Rudbæk Sørensen; Adrian Paul Harrison
Journal:  Physiol Rep       Date:  2015-04

4.  Textile-Friendly Interconnection between Wearable Measurement Instrumentation and Sensorized Garments-Initial Performance Evaluation for Electrocardiogram Recordings.

Authors:  Fernando Seoane; Azadeh Soroudi; Ke Lu; David Nilsson; Marie Nilsson; Farhad Abtahi; Mikael Skrifvars
Journal:  Sensors (Basel)       Date:  2019-10-12       Impact factor: 3.576

Review 5.  The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-06-19       Impact factor: 3.576

6.  Detection and Classification of Measurement Errors in Bioimpedance Spectroscopy.

Authors:  David Ayllón; Roberto Gil-Pita; Fernando Seoane
Journal:  PLoS One       Date:  2016-06-30       Impact factor: 3.240

7.  Bioelectrical Impedance Analysis-An Easy Tool for Quantifying Body Composition in Infancy?

Authors:  Jaz Lyons-Reid; Leigh C Ward; Timothy Kenealy; Wayne Cutfield
Journal:  Nutrients       Date:  2020-03-27       Impact factor: 5.717

  7 in total

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