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

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.