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Flexible Electromagnetic Cap for Head Imaging

  • Abdulrahman S.M. Alqadami*
  • , Adnan Trakic
  • , Anthony E. Stancombe
  • , Beadaa Mohammed
  • , Konstanty Bialkowski
  • , Amin Abbosh
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

44 Scopus citations

Abstract

A wideband wearable electromagnetic (EM) head imaging system for brain stroke detection is presented. The proposed system aims at overcoming the challenges of size, rigidity, and complex structures of existing systems. The proposed system is built into a light-weight and compact imaging platform, which integrates a 16-element antenna array into a highly flexible custom-made wearable cap made of a cost-effective and robust room-temperature-vulcanizing (RTV) silicone. The system mitigates the mismatch between the skin and antenna array by introducing a flexible high-permittivity matching layer. The utilized compact antenna demonstrates wideband operational frequency over 0.6-2.5 GHz with a low signal distortion, safe values of SAR, and unidirectional radiations. The system is experimentally validated on realistic head phantoms. The polar sensitivity encoding (PSE) image processing algorithm is utilized to generate 2D images of different testing scenarios. The obtained images of a stroke-like target inside the head phantoms demonstrate the merits and feasibility of the system for preclinical trials.

Original languageEnglish
Article number9201335
Pages (from-to)1097-1107
Number of pages11
JournalIEEE Transactions on Biomedical Circuits and Systems
Volume14
Issue number5
DOIs
StatePublished - Oct 2020
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2007-2012 IEEE.

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

  • Microwave imaging
  • brain stroke detection
  • electromagnetic head ima-ging
  • multi-slot antenna
  • wearable antenna

ASJC Scopus subject areas

  • Biomedical Engineering
  • Electrical and Electronic Engineering

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