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Pulse-Distortion Analysis for Millimeter-Wave Time-Domain Material Identification

Heunisch, Sebastian LU ; Ohlsson, Lars LU orcid and Wernersson, Lars Erik LU (2018) 48th European Microwave Conference, EuMC 2018 p.572-575
Abstract

Analyzing the frequency dependent dielectric properties can be used to identify and distinguish materials in biomedical instruments. In the millimeter-wave range, the dielectric properties of biological tissues are mainly determined by their water content. For instance, it has been shown, that cancer cells have a lower water content than healthy skin cells, resulting in a significant dielectric contrast between them. In this work, we analyze the pulse distortion observed in measurements of the millimeter-wave reflection of water and porcine skin. We propose to use the distortion caused by the frequency dependent reflection coefficient at the interface of a material as a feature for identification. Using a simplified model for the... (More)

Analyzing the frequency dependent dielectric properties can be used to identify and distinguish materials in biomedical instruments. In the millimeter-wave range, the dielectric properties of biological tissues are mainly determined by their water content. For instance, it has been shown, that cancer cells have a lower water content than healthy skin cells, resulting in a significant dielectric contrast between them. In this work, we analyze the pulse distortion observed in measurements of the millimeter-wave reflection of water and porcine skin. We propose to use the distortion caused by the frequency dependent reflection coefficient at the interface of a material as a feature for identification. Using a simplified model for the reflection coefficient of the material under test, we simulate the distortion caused by the frequency dispersion. In simulation as well as in measurement, we observe different startup transients depending on the dispersion properties of a material under test. The startup behavior can therefore be used as feature, to directly identify dispersive materials in the time domain.

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Please use this url to cite or link to this publication:
author
; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
Biomedical Measurement, Dielectric Characterization, Electromagnetic Reflection, Pulse Measurements, Time-domain analysis, Wavelet Generator
host publication
2018 48th European Microwave Conference, EuMC 2018
article number
8541537
pages
4 pages
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
48th European Microwave Conference, EuMC 2018
conference location
Madrid, Spain
conference dates
2018-09-25 - 2018-09-27
external identifiers
  • scopus:85059799851
ISBN
9782874870514
DOI
10.23919/EuMC.2018.8541537
language
English
LU publication?
yes
id
1e813b36-a9d6-4123-8d89-ddac4eb137df
date added to LUP
2019-01-24 08:10:24
date last changed
2022-01-31 08:42:32
@inproceedings{1e813b36-a9d6-4123-8d89-ddac4eb137df,
  abstract     = {{<p>Analyzing the frequency dependent dielectric properties can be used to identify and distinguish materials in biomedical instruments. In the millimeter-wave range, the dielectric properties of biological tissues are mainly determined by their water content. For instance, it has been shown, that cancer cells have a lower water content than healthy skin cells, resulting in a significant dielectric contrast between them. In this work, we analyze the pulse distortion observed in measurements of the millimeter-wave reflection of water and porcine skin. We propose to use the distortion caused by the frequency dependent reflection coefficient at the interface of a material as a feature for identification. Using a simplified model for the reflection coefficient of the material under test, we simulate the distortion caused by the frequency dispersion. In simulation as well as in measurement, we observe different startup transients depending on the dispersion properties of a material under test. The startup behavior can therefore be used as feature, to directly identify dispersive materials in the time domain.</p>}},
  author       = {{Heunisch, Sebastian and Ohlsson, Lars and Wernersson, Lars Erik}},
  booktitle    = {{2018 48th European Microwave Conference, EuMC 2018}},
  isbn         = {{9782874870514}},
  keywords     = {{Biomedical Measurement; Dielectric Characterization; Electromagnetic Reflection; Pulse Measurements; Time-domain analysis; Wavelet Generator}},
  language     = {{eng}},
  month        = {{11}},
  pages        = {{572--575}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Pulse-Distortion Analysis for Millimeter-Wave Time-Domain Material Identification}},
  url          = {{http://dx.doi.org/10.23919/EuMC.2018.8541537}},
  doi          = {{10.23919/EuMC.2018.8541537}},
  year         = {{2018}},
}