Caccami, Maria Cristina and Marrocco, Gaetano and Horgan, M.P. and Alfredsson, Maria and Batchelor, John C. (2018) Development of a new class of on-skin radio-sensors boosted by thin polymer-based batteries. In: 2017 IEEE MTT-S International Microwave Workshop Series on Advanced Materials and Processes for RF and THz Applications (IMWS-AMP). IEEE. ISBN 978-1-5386-0481-6. E-ISBN 978-1-5386-0480-9. (doi:10.1109/IMWS-AMP.2017.8247436) (KAR id:66143)
|
PDF
Author's Accepted Manuscript
Language: English |
|
|
Download this file (PDF/838kB) |
|
| Request a format suitable for use with assistive technology e.g. a screenreader | |
| Official URL: http://dx.doi.org/10.1109/IMWS-AMP.2017.8247436 |
|
Abstract
Conductive polymers are currently collecting interest for the development of low-profile eco-friendly and biocompatible non-metallic batteries capable of providing a local power source for the next-generation flexible body-integrated electronics. In this contribution, we demonstrate the feasibility of an organic ultrathin and multilayered polymer-based battery integrating a radiofrequency identification (RFID) tag antenna by means of an electromagnetic characterization in UHF band of the polymeric films. The optimally modeling of the battery plus the antenna aimed to develop a new class of shape-conformable radio-sensors suitable to adhere to the skin as a tattoo as well as a plaster. A prototype of the device was manufactured and its communication performances were characterized through the measurement of the realized gain of the tag attached directly onto a volunteer's skin.
| Item Type: | Book section |
|---|---|
| DOI/Identification number: | 10.1109/IMWS-AMP.2017.8247436 |
| Uncontrolled keywords: | Conductive polymer, Organic battery, On-skin antenna, RFID technology |
| Subjects: | T Technology > TK Electrical engineering. Electronics. Nuclear engineering > TK6540 Radio > TK6570.M6 Mobile communication systems |
| Institutional Unit: | Schools > School of Engineering, Mathematics and Physics > Engineering |
| Former Institutional Unit: |
Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
|
| Depositing User: | John Batchelor |
| Date Deposited: | 26 Feb 2018 13:06 UTC |
| Last Modified: | 20 May 2025 10:43 UTC |
| Resource URI: | https://kar.kent.ac.uk/id/eprint/66143 (The current URI for this page, for reference purposes) |
- Link to SensusAccess
- Export to:
- RefWorks
- EPrints3 XML
- BibTeX
- CSV
- Depositors only (login required):

https://orcid.org/0000-0002-2843-1641
Altmetric
Altmetric