DocumentCode
1396904
Title
Determining the Relative Permittivity of Deep Embedded Biological Tissues
Author
Salman, Safa ; Psychoudakis, Dimitris ; Volakis, J.L.
Author_Institution
Electr. & Comput. Eng. Dept., Ohio State Univ., Columbus, OH, USA
Volume
11
fYear
2012
fDate
7/4/1905 12:00:00 AM
Firstpage
1694
Lastpage
1697
Abstract
This letter introduces a novel in vivo method for determining the dielectric properties of deep human tissues, including lungs. A surgery-free method is proposed for an on-body monitoring system to evaluate the electrical properties of internal body organs and to detect irregularities in real time. The method uses a set of electrodes (16 or 40 MHz in operational frequency) to obtain data that relates the electrical properties of the underlying biological tissue(s) to the measured port scattering parameters. By using multiple electrodes, effects from outer layers (skin, fat, and muscle) can be suppressed, allowing for an accurate characterization of deeper layers. Specifically, the dielectric constant is expressed as a weighted sum of the scattering parameters from each probe. The weights of the scattering coefficients are then determined through a training process to ensure that various changes in the outer layers do not contaminate the extraction of the dielectric constant(s) associated with deeper tissues.
Keywords
bioelectric phenomena; biological organs; biological tissues; biomedical communication; electrodes; permittivity; deep embedded biological tissues; deep human tissues; dielectric constant; dielectric properties; electrical properties; electrodes; fat; lungs; muscle; on-body monitoring system; port scattering parameters; relative permittivity; skin; surgery-free method; Biological tissues; Biomedical monitoring; Dielectric constant; Dielectric measurements; Signal to noise ratio; Wearable sensors; Biomedical sensor; human health monitoring; signal-to-noise ratio (SNR); tissue dielectric properties; wearable electronics;
fLanguage
English
Journal_Title
Antennas and Wireless Propagation Letters, IEEE
Publisher
ieee
ISSN
1536-1225
Type
jour
DOI
10.1109/LAWP.2013.2238601
Filename
6407708
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