FEM-Optimized Piezoelectric AlN-based Sensor for Blood Viscosity Monitoring in Polysomnographic Applications

In this work, we present the design, simulation, and validation of a flexible piezoelectric AlN-based sensor for the measurements of fluid viscosity within a vascular prosthesis. In particular, the goal is to derive and monitor the percentage of blood oxygenation from viscosity measurements to monitor this value for polysomnographic applications. The simulations of the optimized design have been performed with COMSOL Multiphysics®, proving the proposed technology is a promising application for wearable blood oxygenation monitoring.

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Published
2024-11-27
DOI
https://doi.org/10.1109/ihtc61819.2024.10855028
Citations
1
Primary Topic
Advanced Sensor and Energy Harvesting Materials
Type
article
Field-Weighted Citation Impact
0.18
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article

FEM-Optimized Piezoelectric AlN-based Sensor for Blood Viscosity Monitoring in Polysomnographic Applications

Luca Fachechi, Massimo De Vittorio, Paolo Visconti, Francesco Rizzi et al.
1 citations
Advanced Sensor and Energy Harvesting Materials
0.18
article

FEM-Optimized Piezoelectric AlN-based Sensor for Blood Viscosity Monitoring in Polysomnographic Applications

Luca Fachechi, Massimo De Vittorio, Paolo Visconti, Francesco Rizzi, Vincenzo Mastronardi, Ilaria Marasco, Beatrice Irmici
article en
1 citations

Abstract

In this work, we present the design, simulation, and validation of a flexible piezoelectric AlN-based sensor for the measurements of fluid viscosity within a vascular prosthesis. In particular, the goal is to derive and monitor the percentage of blood oxygenation from viscosity measurements to monitor this value for polysomnographic applications. The simulations of the optimized design have been performed with COMSOL Multiphysics®, proving the proposed technology is a promising application for wearable blood oxygenation monitoring.

University of Salento (IT), Italian Institute of Technology (IT), Innovation Engineering (Italy) (IT), Center for Biomolecular Nanotechnologies (IT), Polytechnic University of Bari (IT)
Affordable and clean energy
Openalex Percentile: Top 49%
Advanced Sensor and Energy Harvesting Materials
0.18
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FEM-Optimized Piezoelectric AlN-based Sensor for Blood Viscosity Monitoring in Polysomnographic Applications — Luca Fachechi, Massimo De Vittorio, et al. · (2024) | TGRS Research Map | TGRS