| Autor: |
Cuccaro A; Department of Informatics, Modeling, Electronics and Systems Engineering (DIMES), University of Calabria, 87036 Rende, Italy., Dell'Aversano A; Department of Engineering, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy., Basile B; TTC Medical Srl, 80013 Casalnuovo di Napoli, Italy., Maisto MA; Department of Engineering, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy., Solimene R; Department of Engineering, Università degli Studi della Campania Luigi Vanvitelli, 81031 Aversa, Italy. |
| Abstrakt: |
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. |
