Yuan, M., Das, R. , Ghannam, R. , Wang, Y., Reboud, J. , Fromme, R., Moradi, F. and Heidari, H. (2020) Electronic contact lens: a platform for wireless health monitoring applications. Advanced Intelligent Systems, 2(4), 1900190. (doi: 10.1002/aisy.201900190)
|
Text
209813.pdf - Published Version Available under License Creative Commons Attribution. 1MB |
Abstract
Electronic contact lenses can be used for non‐invasively monitoring vital human signs and medical parameters. However, maintaining a secure communications connection and a self‐sustainable power source are still looming challenges. This paper demonstrates a proof of concept electronic contact lens that includes a spiral antenna with its wireless circuit unit for data telemetry, a rectifier circuit for power conditioning and a micro light emitting diode (µLED) as a load. The spiral antenna with its rectifying circuit was designed considering operation in the Industrial, Scientific and Medical (ISM) band of 2.4 GHz. The spiral coil with an inner diameter of 10 mm, an outer diameter of 12 mm and a wire width of 0.2 mm was fabricated on a donut‐shaped flexible polyimide substarte. For biocompatibility purposes, Polyimide was used as the contact lens substrate and polydimethylsiloxane (PDMS) was used for encapsulation. A 3D‐printed eye model was developed for accurately shaping the curvature of the PDMS‐encapsulated contact lens. The reflection coefficient (S11) of the fabricated antenna was tested in different conditions and on an eye model to mimic the liquid condition of the human eye. In a wide range of conditions, a minimum of ‐20 dB reflection coefficient (S11) was obtained. The maximum antenna gain was ‐28 dBi and the contact lens satisfied the electromagnetic exposure safety limit of 1.6 W/kg for 1 g of tissue mass. We also determined the wavelength dependence of the electronic contact lens on different lens thicknesses. Our results showed that the lens is transmissive in the visible part of the spectrum.
| Item Type: | Articles |
|---|---|
| Additional Information: | This work was partially supported by the UK EPSRC under grant EP/R511705/1, and PEER1819/03 from Scottish Research Partnership in Engineering (SRPe). |
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Ghannam, Professor Rami and Yuan, Miss Mengyao and Heidari, Professor Hadi and Reboud, Professor Julien and Das, Dr Rupam |
| Authors: | Yuan, M., Das, R., Ghannam, R., Wang, Y., Reboud, J., Fromme, R., Moradi, F., and Heidari, H. |
| College/School: | College of Science and Engineering > School of Engineering College of Science and Engineering > School of Engineering > Biomedical Engineering College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering |
| Journal Name: | Advanced Intelligent Systems |
| Publisher: | Wiley |
| ISSN: | 2640-4567 |
| ISSN (Online): | 2640-4567 |
| Published Online: | 12 February 2020 |
| Copyright Holders: | Copyright © 2020 The Authors |
| First Published: | First published in Advanced Intelligent Systems 2(4): 1900190 |
| Publisher Policy: | Reproduced under a Creative Commons License |
University Staff: Request a correction | Enlighten Editors: Update this record
Funder and Project Information
Funder and Project Information