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Cole Function and Conductance-Based Parasitic Capacitance Compensation for Cerebral Electrical Bioimpedance Measurements
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).ORCID iD: 0000-0002-0928-8501
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).
KTH, School of Technology and Health (STH), Medical sensors, signals and systems (MSSS) (Closed 20130701).ORCID iD: 0000-0002-6995-967X
2012 (English)In: Engineering in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, San Diego: IEEE press , 2012, 3368-3371 p.Conference paper, Published paper (Refereed)
Abstract [en]

One of the most common measurement artifacts present in Electrical Bioimpedance Spectroscopy measurements (EBIS) comes from the capacitive leakage effect resulting from parasitic stray capacitances. This artifact produces a deviation in the measured impedance spectrum that is most noticeable at higher frequencies. The artifact taints the spectroscopy measurement increasing the difficulty of producing reliable EBIS measurements at high frequencies. In this work, an approach for removing such capacitive influence from the spectral measurement is presented making use of a novel method to estimate the value of the parasitic capacitance equivalent that causes the measurement artifact. The proposed method has been tested and validated theoretically and experimentally and it gives a more accurate estimation of the value of the parasitic capacitance than the previous methods. Once a reliable value of parasitic capacitance has been estimated the capacitive influence can be easily compensated in the EBIS measured data. Thus enabling analysis of EBIS data at higher frequencies, i.e. in the range of 300-500 kHz like measurements intended for cerebral monitoring, where the characteristic frequency is remarkably higher than EBIS measurements i.e. within the range 30 to 50 kHz, intended for body composition assessment.

Place, publisher, year, edition, pages
San Diego: IEEE press , 2012. 3368-3371 p.
Series
IEEE Engineering in Medicine and Biology Society. Conference Proceedings, ISSN 1557-170X
Keyword [en]
Accurate estimation, Body composition, Cerebral monitoring, Characteristic frequencies, Electrical bio-impedance, High frequency, Higher frequencies, Leakage effects, Measured impedance, Measurement artifacts, Parasitic capacitance, Spectral measurement, Spectroscopy measurements, Stray capacitances
National Category
Medical Engineering Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
URN: urn:nbn:se:kth:diva-103218DOI: 10.1109/EMBC.2012.6346687ISI: 000313296503148OAI: oai:DiVA.org:kth-103218DiVA: diva2:559038
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 20121213

Available from: 2012-10-06 Created: 2012-10-06 Last updated: 2017-06-13Bibliographically approved

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Atefi, Seyed RezaSeoane, Fernando

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Medical sensors, signals and systems (MSSS) (Closed 20130701)
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