Development and Validation of a Portable Microwave Imaging System for Stroke Detection

Zekun Zhang*, Fan Li, Heng Liu, Xiang Gao, Rui Zong, Zhizhen Qin

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper proposes a system architecture for a portable microwave stroke detector operating within the 0.5-2 GHz frequency band. The system is divided into two components: the front-end detection equipment and the back-end control equipment. The detector utilizes a frequency domain confocal imaging algorithm to define the imaging area and accurately estimate brain signals by compensating for signal loss at the point of incidence. Experimental validation was performed on healthy volunteers, solution-filled models, and human specimens. The results demonstrate that the system can accurately locate hemorrhages and achieve rapid stroke detection without false positives.

Original languageEnglish
Title of host publicationIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9798331515669
DOIs
Publication statusPublished - 2024
Event2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China
Duration: 22 Nov 202424 Nov 2024

Publication series

NameIEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024

Conference

Conference2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024
Country/TerritoryChina
CityZhuhai
Period22/11/2424/11/24

Keywords

  • biomedical imaging
  • brain stroke monitoring
  • microwave imaging
  • stroke detection

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