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Adaptive frequency distribution for Electrical Bioimpedance Spectroscopy measurements
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).ORCID iD: 0000-0002-6995-967X
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS).
2012 (English)In: Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, IEEE , 2012, 562-565 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper presents a novel frequency distribution scheme intended to provide more accurate estimations of Cole parameters. Nowadays a logarithmic frequency distribution is mostly used in Electrical Bioimpedance Spectroscopy (EBIS) applications. However it is not optimized following any criterion. Our hypothesis is that an EBIS signal contains more information where the variation of the measurement regarding the frequency is larger; and that there ought to be more measuring frequencies where there is more information. Results show that for EBIS data with characteristic frequencies up to 200 kHz the error obtained with both frequency distribution schemes is similar. However, for EBIS data with higher values of characteristic frequency the error produced when estimating the values from EBIS measurements using an adaptive frequency distribution is smaller. Thus it may useful for EBIS applications with high values of characteristic frequency, e.g. cerebral bioimpedance.

Place, publisher, year, edition, pages
IEEE , 2012. 562-565 p.
Series
IEEE Engineering in Medicine and Biology Society. Conference Proceedings, ISSN 1557-170X
Keyword [en]
Accurate estimation, Adaptive frequency, Bio-impedance, Characteristic frequencies, Electrical bio-impedance, Frequency distributions, Logarithmic frequency, Measuring frequency, Spectroscopy measurements
National Category
Medical Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-97353DOI: 10.1109/EMBC.2012.6345993ISI: 000313296500137Scopus ID: 2-s2.0-84870813093ISBN: 978-142444119-8 (print)OAI: oai:DiVA.org:kth-97353DiVA: diva2:559036
Conference
34th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS 2012; San Diego, CA; 28 August 2012 through 1 September 2012
Note

QC 20130118

Available from: 2012-10-06 Created: 2012-06-13 Last updated: 2013-09-05Bibliographically approved

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Seoane, Fernando

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