@inproceedings{4a3aeabc77354998aa6e487f19ed840d,
title = "Determining the Concentration of Red Blood Cells using Dielectric Properties",
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 time-varying 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.",
keywords = "Dielectric measurements, artificial neural networks, biological material, human blood, red blood cells",
author = "Camilleri, \{Jeantide Said\} and Lourdes Farrugia and Julian Bonello and Pace, \{Nikolai P.\} and Adam Santorelli and Emily Porter and Martin O'Halloran and Sammut, \{Charles V.\}",
note = "Publisher Copyright: {\textcopyright} 2020 EurAAP.; 14th European Conference on Antennas and Propagation, EuCAP 2020 ; Conference date: 15-03-2020 Through 20-03-2020",
year = "2020",
month = mar,
doi = "10.23919/EuCAP48036.2020.9135718",
language = "English",
series = "14th European Conference on Antennas and Propagation, EuCAP 2020",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "14th European Conference on Antennas and Propagation, EuCAP 2020",
}