Abstract
We propose a radio frequency (RF) sensor built on a fabric textile substrate for pulmonary edema monitoring. The 37-port RF sensor is designed and optimized to operate at 60 MHz with a low input power of 1 mW. By applying the least squares (LS) method, an equation was obtained for dielectric constant estimation using the transmission coefficient of each RF sensor port. The simulated errors are estimated for normal lung, edema and emphysema infected lung cases using a human chest model with an average error of 0.57%. Inkjet printing of the proposed design is then discussed.
Original language | English (US) |
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Title of host publication | 2017 Sensors Networks Smart and Emerging Technologies, SENSET 2017 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 1-4 |
Number of pages | 4 |
ISBN (Electronic) | 9781509060115 |
DOIs | |
State | Published - Nov 29 2017 |
Event | 1st International Conference on Sensors Networks Smart and Emerging Technologies, SENSET 2017 - Beriut, Lebanon Duration: Sep 12 2017 → Sep 14 2017 |
Publication series
Name | 2017 Sensors Networks Smart and Emerging Technologies, SENSET 2017 |
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Volume | 2017-January |
Conference
Conference | 1st International Conference on Sensors Networks Smart and Emerging Technologies, SENSET 2017 |
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Country/Territory | Lebanon |
City | Beriut |
Period | 09/12/17 → 09/14/17 |
Bibliographical note
Publisher Copyright:© 2017 IEEE.
ASJC Scopus subject areas
- Instrumentation
- Computer Networks and Communications
- Biomedical Engineering