Department of Informatics, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, 87036 Rende, Italy.
Department of Engineering, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy.
Sensors (Basel). 2024 Apr 30;24(9):2887. doi: 10.3390/s24092887.
In this contribution, a wearable microwave imaging system for real-time monitoring of brain stroke in the post-acute stage is described and validated. The system exploits multistatic/multifrequency (only 50 frequency samples) data collected via a low-cost and low-complexity architecture. Data are collected by an array of only 16 antennas moved by pneumatic system. Phantoms, built from ABS material and filled with appropriate Triton X-100-based mixtures to mimic the different head human tissues, are employed for the experiments. The microwave system exploits the differential scattering measures and the Incoherent MUSIC algorithm to provide a 3D image of the region under investigation. The shown results, although preliminary, confirm the potential of the proposed microwave system in providing reliable results, including for targets whose evolution is as small as 16 mL in volume.
在本研究中,我们描述并验证了一种用于实时监测脑卒中后亚急性期的可穿戴微波成像系统。该系统利用通过低成本、低复杂度架构收集的多静态/多频率(仅 50 个频率样本)数据。数据由通过气动系统移动的仅 16 个天线的阵列收集。实验采用由 ABS 材料制成并填充适当的 Triton X-100 基混合物的体模来模拟不同的人体组织。微波系统利用差分散射测量和非相干 MUSIC 算法来提供研究区域的 3D 图像。尽管结果初步,但证实了所提出的微波系统在提供可靠结果方面的潜力,包括对体积变化小至 16 毫升的目标。