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Slightly superior performance of bioimpedance spectroscopy over single frequency regression equations for assessment of total body water
KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems. University of Boras, Sweden.ORCID iD: 0000-0002-6995-967X
KTH, School of Technology and Health (STH), Medical Engineering, Medical sensors, signals and systems. Karolinska Institute, Sweden.ORCID iD: 0000-0001-7807-8682
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2015 (English)In: Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, IEEE conference proceedings, 2015, 3707-3710 p.Conference paper, Published paper (Refereed)
Abstract [en]

Electrical bioimpedance has been used for several decades to assess body fluid distribution and body composition by using single frequency and bioimpedance spectroscopic (BIS) techniques. It remains uncertain whether BIS methods have better performance compare to single frequency regression equations. In this work the performance of two BIS methods and four different 50 kHz single frequency prediction equations was studied in a data set of wrist-to-ankle tetrapolar BIS measurements (5-1000 kHz) together with reference values of total body water obtained by tritium dilution in 92 patients. Data were compared using regression techniques and BlandAltman plots. The results of this study showed that all methods produced similarly high correlation and concordance coefficients, indicating good accuracy as a method. Limits of agreement analysis indicated that the population level performance of Sun’s prediction equations was very similar to the performance of both BIS methods. However, BIS methods in practice have slightly better predictive performance than the single-frequency equations as judged by higher correlation and the limits of agreement from the Bland-Altman analysis. In any case, the authors believe that an accurate evaluation of performance of the methods cannot be done as long as the evaluation is done using Bland-Altman analysis, the commonly accepted technique for this kind of performance comparisons.

Place, publisher, year, edition, pages
IEEE conference proceedings, 2015. 3707-3710 p.
Series
Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS, ISSN 1557-170X ; 7319198
Keyword [en]
Atmospheric measurements, Bioimpedance, Correlation, Frequency measurement, Impedance, Impedance measurement, Mathematical model
National Category
Other Medical Engineering
Identifiers
URN: urn:nbn:se:kth:diva-177121DOI: 10.1109/EMBC.2015.7319198ISI: 000371717203245Scopus ID: 2-s2.0-84953220227ISBN: 978-1-4244-9270-1 (print)OAI: oai:DiVA.org:kth-177121DiVA: diva2:874527
Conference
Engineering in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, Milan, Italy
Note

QC 20160127

Available from: 2015-11-27 Created: 2015-11-15 Last updated: 2016-04-21Bibliographically approved

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Publisher's full textScopushttp://dx.doi.org/10.1109/EMBC.2015.7319198

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Seoane, FernandoAbtahi, Farhad

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