Pulse-Distortion Analysis for Millimeter-Wave Time-Domain Material Identification
(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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- author
- Heunisch, Sebastian LU ; Ohlsson, Lars LU and Wernersson, Lars Erik LU
- organization
- publishing date
- 2018-11-20
- 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}}, }