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Software tool for analysis of breathing-related errors in transthoracic electrical bioimpedance spectroscopy measurements
KTH, School of Technology and Health (STH), Patient Safety (Closed 20130701).ORCID iD: 0000-0001-7807-8682
KTH, School of Technology and Health (STH).
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).ORCID iD: 0000-0002-6995-967X
2012 (English)In: Journal of Physics, Conference Series, ISSN 1742-6588, E-ISSN 1742-6596, Vol. 407, no 1, 012028- p.Article in journal (Refereed) Published
Abstract [en]

During the last decades, Electrical Bioimpedance Spectroscopy (EBIS) has been applied in a range of different applications and mainly using the frequency sweep-technique. Traditionally the tissue under study is considered to be timeinvariant and dynamic changes of tissue activity are ignored and instead treated as a noise source. This assumption has not been adequately tested and could have a negative impact and limit the accuracy for impedance monitoring systems. In order to successfully use frequency-sweeping EBIS for monitoring time-variant systems, it is paramount to study the effect of frequency-sweep delay on Cole Model-based analysis. In this work, we present a software tool that can be used to simulate the influence of respiration activity in frequency-sweep EBIS measurements of the human thorax and analyse the effects of the different error sources. Preliminary results indicate that the deviation on the EBIS measurement might be significant at any frequency, and especially in the impedance plane. Therefore the impact on Cole-model analysis might be different depending on method applied for Cole parameter estimation.

Place, publisher, year, edition, pages
2012. Vol. 407, no 1, 012028- p.
Keyword [en]
electrical bioimpedance spectroscopy, EBIS artefacts, frequency-sweep EBIS, Transthoracic Measurements, frequency-sweep spectroscopy of time-variant systems
National Category
Other Medical Sciences
URN: urn:nbn:se:kth:diva-118870DOI: 10.1088/1742-6596/407/1/012028ISI: 000314985000028ScopusID: 2-s2.0-84874095138OAI: diva2:609041
1st Latin-American Conference on Bioimpedance, CLABIO 2012, 6 November 2012 through 9 November 2012, Joinville

QC 20130304

Available from: 2013-03-04 Created: 2013-03-04 Last updated: 2014-06-04Bibliographically approved
In thesis
1. Aspects of Electrical Bioimpedance Spectrum Estimation
Open this publication in new window or tab >>Aspects of Electrical Bioimpedance Spectrum Estimation
2014 (English)Licentiate thesis, comprehensive summary (Other academic)
Abstract [en]

Electrical bioimpedance spectroscopy (EBIS) has been used to assess the status or composition of various types of tissue, and examples of EBIS include body composition analysis (BCA) and tissue characterisation for skin cancer detection. EBIS is a non-invasive method that has the potential to provide a large amount of information for diagnosis or monitoring purposes, such as the monitoring of pulmonary oedema, i.e., fluid accumulation in the lungs. However, in many cases, systems based on EBIS have not become generally accepted in clinical practice. Possible reasons behind the low acceptance of EBIS could involve inaccurate models; artefacts, such as those from movements; measurement errors; and estimation errors. Previous thoracic EBIS measurements aimed at pulmonary oedema have shown some uncertainties in their results, making it difficult to produce trustworthy monitoring methods. The current research hypothesis was that these uncertainties mostly originate from estimation errors. In particular, time-varying behaviours of the thorax, e.g., respiratory and cardiac activity, can cause estimation errors, which make it tricky to detect the slowly varying behaviour of this system, i.e., pulmonary oedema.

The aim of this thesis is to investigate potential sources of estimation error in transthoracic impedance spectroscopy (TIS) for pulmonary oedema detection and to propose methods to prevent or compensate for these errors.   This work is mainly focused on two aspects of impedance spectrum estimation: first, the problems associated with the delay between estimations of spectrum samples in the frequency-sweep technique and second, the influence of undersampling (a result of impedance estimation times) when estimating an EBIS spectrum. The delay between frequency sweeps can produce huge errors when analysing EBIS spectra, but its effect decreases with averaging or low-pass filtering, which is a common and simple method for monitoring the time-invariant behaviour of a system. The results show the importance of the undersampling effect as the main estimation error that can cause uncertainty in TIS measurements.  The best time for dealing with this error is during the design process, when the system can be designed to avoid this error or with the possibility to compensate for the error during analysis. A case study of monitoring pulmonary oedema is used to assess the effect of these two estimation errors. However, the results can be generalised to any case for identifying the slowly varying behaviour of physiological systems that also display higher frequency variations.  Finally, some suggestions for designing an EBIS measurement system and analysis methods to avoid or compensate for these estimation errors are discussed.

Place, publisher, year, edition, pages
Stockholm: KTH Royal Institute of Technology, 2014. xi, 36 p.
TRITA-STH : report, ISSN 1653-3836 ; 2014:4
Electrical Bioimpedance Spectroscopy, Thoracic Bioimpedance Spectroscopy, Sub-Nyquist Sampling, Undersampling, Aliasing in Electrical Bioimpedance, Bioimpedance Estimation Error.
National Category
Medical Engineering Signal Processing
Research subject
Medical Technology; Electrical Engineering
urn:nbn:se:kth:diva-145643 (URN)978-91-7595-196-6 (ISBN)
2014-08-21, 221, Alfred Nobels Allé 10, Flemingsberg, 15:37 (English)

QC 20140604

Available from: 2014-06-04 Created: 2014-05-23 Last updated: 2014-06-04Bibliographically approved

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Abtahi, FarhadGyllensten, Illapha CubaSeoane, Fernando
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