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Wireless Communication and Power Harvesting in Wearable Contact Lens Sensors

  • Mengyao Yuan
  • , Rupam Das
  • , Eve Mcglynn
  • , Rami Ghannam
  • , Qammer H. Abbasi
  • , Hadi Heidari
  • University of Glasgow

Research output: Contribution to journalArticlepeer-review

35 Scopus citations

Abstract

The human eye contains multiple biomarkers related to various diseases, making electronic contact lens an ideal non-invasive platform for their diagnosis and treatment. Recent advances in technology have enabled the monitoring and diagnosis of glaucoma from Intraocular Pressure (IOP) detection, diabetes from glucose concentration detections, and other biosensors for pH and temperature sensing. Different sensor designs have led to distinct power transfer techniques, among which inductively coupled power transfer is considered most favourable for electronic contact lenses power delivery applications. Therefore, loop antenna, spiral shape antenna, and antenna with nanomaterials such as graphene and hybrid silver nanofibers have been explored under Industrial, Scientific, and Medical (ISM) frequency bands for both Wireless Power Transfer (WPT) and data communication. Notably, spiral antennas are also considered as the component of IOP sensing using capacitive sensors to detect the changes in frequency caused by pressure. This article reviews the state-of-the-art technologies in electronic contact lens sensors and their power delivery techniques. Herein, diverse sensing methods, materials, and power transfer techniques and the promising future trends and challenges in electronic contact lenses have been presented.

Original languageEnglish
Article number9336660
Pages (from-to)12484-12497
Number of pages14
JournalIEEE Sensors Journal
Volume21
Issue number11
DOIs
StatePublished - 1 Jun 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Electronic contact lens
  • energy harvesting
  • sensors
  • wearable electronics
  • wireless power transfer

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