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Linear and nonlinear models for electrical conduction in biological tissues

Authors: AMAR, Micol; ANDREUCCI, Daniele; GIANNI, Roberto;

Linear and nonlinear models for electrical conduction in biological tissues

Abstract

We collect some results concerning electrical conduction problems in biological tissues. Indeed, it is well known that electric potentials can be used in diagnostic devices to investigate the properties of biological tissues. Besides the well-known diagnostic techniques such as magnetic resonance, X-rays and so on, it plays an important role a more recent, cheap and noninvasive technique known as {\it electric impedance tomography} (EIT). Such a technique is essentially based on the possibility of determining the physiological properties of a living body by means of the knowledge of its electrical behavior. The models we present here are described by means of a finely mixed periodic medium, with a very small characteristic length, made by two different conductive regions (the intracellular and extracellular spaces), separated by an interface (the cell membrane), which exhibits both a capacitive and a conductive behavior. Due to the biochemical structure of the cell membrane, its conductive properties can perform a linear or a nonlinear behavior. We will discuss these two different situations, producing in each case a ``macroscopic'' or ``homogenized'' model, obtained letting the spatial period of the medium go to zero. The asymptotic behavior of the macroscopic potential for large times is investigated, too.

Country
Italy
Related Organizations
Keywords

asymptotic expansions; electric impedance tomography; exponential decay; homogenization; two-scale techniques

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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