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 language | English |
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| Title of host publication | IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9798331515669 |
| DOIs | |
| Publication status | Published - 2024 |
| Event | 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 - Zhuhai, China Duration: 22 Nov 2024 → 24 Nov 2024 |
Publication series
| Name | IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 |
|---|
Conference
| Conference | 2nd IEEE International Conference on Signal, Information and Data Processing, ICSIDP 2024 |
|---|---|
| Country/Territory | China |
| City | Zhuhai |
| Period | 22/11/24 → 24/11/24 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- biomedical imaging
- brain stroke monitoring
- microwave imaging
- stroke detection
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