Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm

© 2015 Institute of Physics and Engineering in Medicine. Body composition is commonly predicted from bioelectrical impedance spectroscopy using mixture theory algorithms. Mixture theory algorithms require the input of values for the resistivities of intra-and extracellular water of body tissues. Var...

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Main Authors: Ward, L., Isenring, E., Dyer, J., Kagawa, Masaharu, Essex, T.
Format: Journal Article
Published: Institute of Physics Publishing Ltd 2015
Online Access:http://hdl.handle.net/20.500.11937/74599
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author Ward, L.
Isenring, E.
Dyer, J.
Kagawa, Masaharu
Essex, T.
author_facet Ward, L.
Isenring, E.
Dyer, J.
Kagawa, Masaharu
Essex, T.
author_sort Ward, L.
building Curtin Institutional Repository
collection Online Access
description © 2015 Institute of Physics and Engineering in Medicine. Body composition is commonly predicted from bioelectrical impedance spectroscopy using mixture theory algorithms. Mixture theory algorithms require the input of values for the resistivities of intra-and extracellular water of body tissues. Various derivations of these algorithms have been published, individually requiring resistivity values specific for each algorithm. This study determined apparent resistivity values in 85 healthy males and 66 healthy females for each of the four published mixture theory algorithms. The resistivity coefficients determined here are compared to published values and the inter-individual (biological) variation discussed with particular reference to consequential error in prediction of body fluid volumes. In addition, the relationships between the four algorithmic approaches are derived and methods for the inter-conversion of coefficients between algorithms presented.
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institution Curtin University Malaysia
institution_category Local University
last_indexed 2025-11-14T11:01:35Z
publishDate 2015
publisher Institute of Physics Publishing Ltd
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spelling curtin-20.500.11937-745992019-02-19T05:35:45Z Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm Ward, L. Isenring, E. Dyer, J. Kagawa, Masaharu Essex, T. © 2015 Institute of Physics and Engineering in Medicine. Body composition is commonly predicted from bioelectrical impedance spectroscopy using mixture theory algorithms. Mixture theory algorithms require the input of values for the resistivities of intra-and extracellular water of body tissues. Various derivations of these algorithms have been published, individually requiring resistivity values specific for each algorithm. This study determined apparent resistivity values in 85 healthy males and 66 healthy females for each of the four published mixture theory algorithms. The resistivity coefficients determined here are compared to published values and the inter-individual (biological) variation discussed with particular reference to consequential error in prediction of body fluid volumes. In addition, the relationships between the four algorithmic approaches are derived and methods for the inter-conversion of coefficients between algorithms presented. 2015 Journal Article http://hdl.handle.net/20.500.11937/74599 10.1088/0967-3334/36/7/1529 Institute of Physics Publishing Ltd restricted
spellingShingle Ward, L.
Isenring, E.
Dyer, J.
Kagawa, Masaharu
Essex, T.
Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm
title Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm
title_full Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm
title_fullStr Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm
title_full_unstemmed Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm
title_short Resistivity coefficients for body composition analysis using bioimpedance spectroscopy: Effects of body dominance and mixture theory algorithm
title_sort resistivity coefficients for body composition analysis using bioimpedance spectroscopy: effects of body dominance and mixture theory algorithm
url http://hdl.handle.net/20.500.11937/74599