Feasibility of using wideband microwave system for non-invasive detection and monitoring of pulmonary oedema

Rezaeieh, S. Ahdi, Zamani, A., Bialkowski, K. S., Mahmoud, A. and Abbosh, A. M. (2015) Feasibility of using wideband microwave system for non-invasive detection and monitoring of pulmonary oedema. Scientific Reports, 5 14047.1-14047.11. doi:10.1038/srep14047


Author Rezaeieh, S. Ahdi
Zamani, A.
Bialkowski, K. S.
Mahmoud, A.
Abbosh, A. M.
Title Feasibility of using wideband microwave system for non-invasive detection and monitoring of pulmonary oedema
Journal name Scientific Reports   Check publisher's open access policy
ISSN 2045-2322
Publication date 2015-09-14
Year available 2015
Sub-type Article (original research)
DOI 10.1038/srep14047
Open Access Status DOI
Volume 5
Start page 14047.1
End page 14047.11
Total pages 11
Place of publication London, United Kingdom
Publisher Nature Publishing Group
Language eng
Subject 1000 General
Abstract Pulmonary oedema is a common manifestation of various fatal diseases that can be caused by cardiac or non-cardiac syndromes. The accumulated fluid has a considerably higher dielectric constant compared to lungs’ tissues, and can thus be detected using microwave techniques. Therefore, a non-invasive microwave system for the early detection of pulmonary oedema is presented. It employs a platform in the form of foam-based bed that contains two linear arrays of wideband antennas covering the band 0.7–1 GHz. The platform is designed such that during the tests, the subject lays on the bed with the back of the torso facing the antenna arrays. The antennas are controlled using a switching network that is connected to a compact network analyzer. A novel frequency-based imaging algorithm is used to process the recorded signals and generate an image of the torso showing any accumulated fluids in the lungs. The system is verified on an artificial torso phantom, and animal organs. As a feasibility study, preclinical tests are conducted on healthy subjects to determinate the type of obtained images, the statistics and threshold levels of their intensity to differentiate between healthy and unhealthy subjects.
Keyword Multidisciplinary Sciences
Science & Technology - Other Topics
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
School of Information Technology and Electrical Engineering Publications
 
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