This paper presents the experimental validation of the detection capabilities of a low complexity wearable system designed for the imaging-based detection of brain stroke. The system approaches the electromagnetic inverse problem via a 3-D imaging algorithm based on the Born approximation and the Truncated Singular Value Decomposition (TSVD). For testing, flexible antennas with custom-made coupling-medium are prototyped and assessed in mimicked hemorrhagic and ischemic stroke conditions. The experiment emulates the clinical scenario using a single-tissue anthropomorphic head phantom and strokes with both 20 cm3 and 60 cm3 ellipsoid targets. The imaging kernel is computed via full-wave simulation of a virtual twin model. The results demonstrate the capabilities for detecting and estimating the stroke-affected area.

Wearable Microwave Imaging System for Brain Stroke Imaging

Scapaticci R;Crocco L;
2022

Abstract

This paper presents the experimental validation of the detection capabilities of a low complexity wearable system designed for the imaging-based detection of brain stroke. The system approaches the electromagnetic inverse problem via a 3-D imaging algorithm based on the Born approximation and the Truncated Singular Value Decomposition (TSVD). For testing, flexible antennas with custom-made coupling-medium are prototyped and assessed in mimicked hemorrhagic and ischemic stroke conditions. The experiment emulates the clinical scenario using a single-tissue anthropomorphic head phantom and strokes with both 20 cm3 and 60 cm3 ellipsoid targets. The imaging kernel is computed via full-wave simulation of a virtual twin model. The results demonstrate the capabilities for detecting and estimating the stroke-affected area.
2022
Istituto per il Rilevamento Elettromagnetico dell'Ambiente - IREA
Inglese
2022 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (AP-S/URSI)
1716
1717
9781665496582
http://www.scopus.com/record/display.url?eid=2-s2.0-85139762587&origin=inward
Sì, ma tipo non specificato
10/07/2022 - 15/07/2022
Microwave antennas
Computational modeling
Scattering
Phantoms
Brain modeling
Kernel
Testing
6
none
Rodriguezduarte, D O; Origlia, C; Vasquez, J ATobon; Scapaticci, R; Crocco, L; Vipiana, F
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
   ElectroMagnetic imaging for a novel genERation of medicAL Devices
   EMERALD
   H2020
   764479
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/419524
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