A wearable RF sensor on fabric substrate for pulmonary edema monitoring

Handle URI:
http://hdl.handle.net/10754/626615
Title:
A wearable RF sensor on fabric substrate for pulmonary edema monitoring
Authors:
Tayyab, Muhammad; Sharawi, Mohammad S.; Shamim, Atif ( 0000-0002-4207-4740 )
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.
KAUST Department:
Electrical Engineering Program
Citation:
Tayyab M, Sharawi MS, Shamim A (2017) A wearable RF sensor on fabric substrate for pulmonary edema monitoring. 2017 Sensors Networks Smart and Emerging Technologies (SENSET). Available: http://dx.doi.org/10.1109/SENSET.2017.8125007.
Publisher:
IEEE
Journal:
2017 Sensors Networks Smart and Emerging Technologies (SENSET)
Issue Date:
30-Nov-2017
DOI:
10.1109/SENSET.2017.8125007
Type:
Conference Paper
Sponsors:
This project was funded by the National Plan for Science, Technology and Innovation (Maarifah) - King Abdulaziz City for Science and Technology - through the Science and Technology Unit at King Fahd University of Petroleum and Minerals (KFUPM) - the Kingdom of Saudia Arabia, under grant number 15-MED-3742-04. The authors would like to thank King Abdullah University of Science and Technology (KAUST) for their support in fabrication and experimental validation of the proposed sensor.
Additional Links:
http://ieeexplore.ieee.org/document/8125007/
Appears in Collections:
Conference Papers; Electrical Engineering Program

Full metadata record

DC FieldValue Language
dc.contributor.authorTayyab, Muhammaden
dc.contributor.authorSharawi, Mohammad S.en
dc.contributor.authorShamim, Atifen
dc.date.accessioned2018-01-01T12:19:03Z-
dc.date.available2018-01-01T12:19:03Z-
dc.date.issued2017-11-30en
dc.identifier.citationTayyab M, Sharawi MS, Shamim A (2017) A wearable RF sensor on fabric substrate for pulmonary edema monitoring. 2017 Sensors Networks Smart and Emerging Technologies (SENSET). Available: http://dx.doi.org/10.1109/SENSET.2017.8125007.en
dc.identifier.doi10.1109/SENSET.2017.8125007en
dc.identifier.urihttp://hdl.handle.net/10754/626615-
dc.description.abstractWe 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.en
dc.description.sponsorshipThis project was funded by the National Plan for Science, Technology and Innovation (Maarifah) - King Abdulaziz City for Science and Technology - through the Science and Technology Unit at King Fahd University of Petroleum and Minerals (KFUPM) - the Kingdom of Saudia Arabia, under grant number 15-MED-3742-04. The authors would like to thank King Abdullah University of Science and Technology (KAUST) for their support in fabrication and experimental validation of the proposed sensor.en
dc.publisherIEEEen
dc.relation.urlhttp://ieeexplore.ieee.org/document/8125007/en
dc.subjectDielectricsen
dc.subjectInken
dc.subjectMonitoringen
dc.subjectPrintingen
dc.subjectRadio frequencyen
dc.subjectSubstratesen
dc.subjectTextilesen
dc.titleA wearable RF sensor on fabric substrate for pulmonary edema monitoringen
dc.typeConference Paperen
dc.contributor.departmentElectrical Engineering Programen
dc.identifier.journal2017 Sensors Networks Smart and Emerging Technologies (SENSET)en
dc.contributor.institutionElectrical Engineering Department, King Fahd University for Petroleum and Minerals, (KFUPM), Dhahran, 31261 Saudi Arabiaen
kaust.authorShamim, Atifen
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