Efficiency measurement of the flexible on-body antenna at varying levels of stretch in a reverberation chamber.


Journal

IET microwaves, antennas & propagation
ISSN: 1751-8733
Titre abrégé: IET Microw Antennas Propag
Pays: United States
ID NLM: 9918384883506676

Informations de publication

Date de publication:
Feb 2020
Historique:
entrez: 9 5 2022
pubmed: 1 2 2020
medline: 1 2 2020
Statut: ppublish

Résumé

Flexible antennas have the potential to transform wearable and fabric-based wireless sensing technologies. The antenna discussed in this study is part of a sensing system that uses the back-scattered power level as the decision metric. For a good wireless sensor, it is necessary to offer a feasible read range and maintain good distinctions in the back-scattered power levels between the different states (i.e. level of stretch) of the antenna. Moreover, effects due to human body proximity should be minimised. For these reasons, the radiation efficiency is a crucial parameter to investigate. This study presents the radiation efficiency measurement of the proposed flexible knitted 'Bellyband' antenna at two different levels of stretch in a reverberation chamber. This work validates the reverberation chamber measurements through comparison with simulations and anechoic chamber measurements at 900 MHz. Moreover, this work demonstrates how the approach can be used to quantify bellyband antenna efficiency in the vicinity of a human body. Finally, the efficiency results were used to predict the read range of Bellyband radio frequency identification technology.

Identifiants

pubmed: 35529428
doi: 10.1049/iet-map.2019.0503
pmc: PMC9078094
mid: NIHMS1802133
doi:

Types de publication

Journal Article

Langues

eng

Pagination

154-158

Subventions

Organisme : NIBIB NIH HHS
ID : U01 EB023035
Pays : United States

Références

IEEE Trans Biomed Circuits Syst. 2016 Dec;10(6):1047-1057
pubmed: 27411227
IEEE J Biomed Health Inform. 2019 May;23(3):1022-1031
pubmed: 30040664
Clin Phys Physiol Meas. 1987;8 Suppl A:131-40
pubmed: 3568562

Auteurs

Md Abu Saleh Tajin (MAS)

Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.

Oday Bshara (O)

Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.

Yuqiao Liu (Y)

Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.

Ariana Levitt (A)

Materials Science and Engineering Department, Drexel University, Philadelphia, PA 19104, USA.

Genevieve Dion (G)

Design Department, Drexel University, Philadelphia, PA 19104, USA.

Kapil R Dandekar (KR)

Department of Electrical and Computer Engineering, Drexel University, Philadelphia, PA 19104, USA.

Classifications MeSH