Literature DB >> 9626689

A model of artefacts produced by stray capacitance during whole body or segmental bioimpedance spectroscopy.

H Scharfetter1, P Hartinger, H Hinghofer-Szalkay, H Hutten.   

Abstract

We have developed a novel model for the simulation of artefacts which are produced by stray capacitance during bioimpedance spectroscopy. We focused on whole body and segmental measurements in the frequency range 5-1000 kHz. The current source was assumed to by asymmetric with respect to ground as is the case for many commercial devices. We considered the following stray pathways: 1, cable capacitance; 2, capacitance between neighbouring electrode leads; 3. capacitance between different body segments and earth; 4, capacitance between signal ground of the device and earth. According to our results the pathways 3 and 4 cause a significant spurious dispersion in the measured impedance spectra at frequencies > 500 kHz. During segmental measurements the spectra have been found to be sensitive to an interchange of the electrode cable pairs. The sensitivity was also observed in vivo and is due to asymmetry of the potential distribution along the segment with respect to earth. In contrast to previously published approaches, our model renders possible the simulation of this effect. However, it is unable to fully explain the deviations of in vivo measured impedance spectra from a single Cole circle. We postulate that the remaining deviations are due to a physiologically caused superposition of two dispersions from two different tissues.

Mesh:

Year:  1998        PMID: 9626689     DOI: 10.1088/0967-3334/19/2/012

Source DB:  PubMed          Journal:  Physiol Meas        ISSN: 0967-3334            Impact factor:   2.833


  12 in total

1.  Accuracy of an optically isolated tetra-polar impedance measurement system.

Authors:  S Nebuya; M Noshiro; B H Brown; R H Smallwood; P Milnes
Journal:  Med Biol Eng Comput       Date:  2002-11       Impact factor: 2.602

2.  Design of Bioimpedance Spectroscopy Instrument With Compensation Techniques for Soft Tissue Characterization.

Authors:  Robert E Dodde; Grant H Kruger; Albert J Shih
Journal:  J Med Device       Date:  2015-06       Impact factor: 0.582

Review 3.  Electrical Impedance Myography and Its Applications in Neuromuscular Disorders.

Authors:  Benjamin Sanchez; Seward B Rutkove
Journal:  Neurotherapeutics       Date:  2017-01       Impact factor: 7.620

4.  Sensitivity distribution simulations of surface electrode configurations for electrical impedance myography.

Authors:  Seward B Rutkove; Adam Pacheck; Benjamin Sanchez
Journal:  Muscle Nerve       Date:  2017-03-21       Impact factor: 3.217

5.  A Bioimpedance Analysis Platform for Amputee Residual Limb Assessment.

Authors:  Joan E Sanders; Mark A Moehring; Travis M Rothlisberger; Reid H Phillips; Tyler Hartley; Colin R Dietrich; Christian B Redd; David W Gardner; John C Cagle
Journal:  IEEE Trans Biomed Eng       Date:  2015-11-19       Impact factor: 4.538

6.  Mean Expected Error in Prediction of Total Body Water: A True Accuracy Comparison between Bioimpedance Spectroscopy and Single Frequency Regression Equations.

Authors:  Fernando Seoane; Shirin Abtahi; Farhad Abtahi; Lars Ellegård; Gudmundur Johannsson; Ingvar Bosaeus; Leigh C Ward
Journal:  Biomed Res Int       Date:  2015-06-02       Impact factor: 3.411

7.  Guidelines to electrode positioning for human and animal electrical impedance myography research.

Authors:  Benjamin Sanchez; Adam Pacheck; Seward B Rutkove
Journal:  Sci Rep       Date:  2016-09-02       Impact factor: 4.379

8.  Stroke damage detection using classification trees on electrical bioimpedance cerebral spectroscopy measurements.

Authors:  Seyed Reza Atefi; Fernando Seoane; Thorleif Thorlin; Kaj Lindecrantz
Journal:  Sensors (Basel)       Date:  2013-08-07       Impact factor: 3.576

Review 9.  The theory and fundamentals of bioimpedance analysis in clinical status monitoring and diagnosis of diseases.

Authors:  Sami F Khalil; Mas S Mohktar; Fatimah Ibrahim
Journal:  Sensors (Basel)       Date:  2014-06-19       Impact factor: 3.576

10.  Detection and Classification of Measurement Errors in Bioimpedance Spectroscopy.

Authors:  David Ayllón; Roberto Gil-Pita; Fernando Seoane
Journal:  PLoS One       Date:  2016-06-30       Impact factor: 3.240

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