Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/93130
Title: Determining the concentration of red blood cells using dielectric properties
Authors: Said Camilleri, Jeantide
Farrugia, Lourdes
Bonello, Julian
Pace, Nikolai Paul
Santorelli, Adam
Porter, Emily
O’Halloran, Martin
Sammut, Charles V.
Keywords: Dielectric measurements
Biological decontamination
Blood
Erythrocytes -- Congresses
Neural networks (Computer science) -- Congresses
Issue Date: 2020
Publisher: IEEE
Citation: Camilleri, J. S., Farrugia, L., Bonello, J., Pace, N. P., Santorelli, A., Porter, E., ... & Sammut, C. V. (2020, March). Determining the concentration of red blood cells using dielectric properties. In 2020 14th European Conference on Antennas and Propagation (EuCAP) (pp. 1-5). IEEE.
Abstract: This paper investigates an innovative method to determine the red and white blood cell concentrations in blood using their dielectric properties at microwave frequencies. The dielectric properties characterise the interaction of a timevarying electric field with the biological tissue. The concentrations of red blood cells (RBCs) and white blood cells in a sample of whole blood can vary due to illness or disease. This study is a proof-of-concept, where the dielectric properties of samples containing RBCs and plasma are investigated. The dielectric properties of samples of different concentration of RBCs in plasma are measured and used to train artificial neural networks which relate the measured properties to the known concentrations of RBCs. The results show that a trained neural network can predict the RBC concentrations in arbitrary samples not used to train the model with an average error of 1.37 % with respect to the actual concentration in the samples.
URI: https://www.um.edu.mt/library/oar/handle/123456789/93130
Appears in Collections:Scholarly Works - FacM&SAna

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