This paper aims to assess the capability in detecting the Alzheimer's disease via the investigation of the dielectric properties in the human neck, exploiting the microwave sensing technique. In particular, after the creation of a simplified 2-D synthetic neck phantom, four different stages of the pathology are generated by changing the permittivity of the cerebrospinal fluid. The discretization and the solution of the problem is obtained through a finite element method solver. The results show that the different considered stages of the disease cause changing in the cerebrospinal fluid permittivity, detectable by the microwaves technique.

Early Detection of Alzheimer’s Disease via Microwave Sensing Technique Applied to the Neck / Mariano, Valeria; Cardinali, Leonardo; Tobon Vasquez, Jorge Alberto; Scapaticci, Rosa; Crocco, Lorenzo; Vipiana, Francesca. - (2024). ( 4th URSI Atlantic Radio Science Meeting, AT-RASC 2024 Gran Canaria (Spa) 19-24 May 2024) [10.46620/ursiatrasc24/hmzb1465].

Early Detection of Alzheimer’s Disease via Microwave Sensing Technique Applied to the Neck

Mariano, Valeria;Cardinali, Leonardo;Tobon Vasquez, Jorge Alberto;Crocco, Lorenzo;Vipiana, Francesca
2024

Abstract

This paper aims to assess the capability in detecting the Alzheimer's disease via the investigation of the dielectric properties in the human neck, exploiting the microwave sensing technique. In particular, after the creation of a simplified 2-D synthetic neck phantom, four different stages of the pathology are generated by changing the permittivity of the cerebrospinal fluid. The discretization and the solution of the problem is obtained through a finite element method solver. The results show that the different considered stages of the disease cause changing in the cerebrospinal fluid permittivity, detectable by the microwaves technique.
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11583/3006293