Title: Modelling a smart non-invasive adrenaline sensor

Authors: Noha M.M. AbdElnapi; Nahla F. Omran; Abdelmageid A. Ali; Fatma A. Omara

Addresses: Faculty of Computer Science, Nahda University, 45511, Egypt ' Faculty of Science, Department of Mathematics, South Valley University, Qena, 83511, Egypt ' Faculty of Computers and Information, Minia University, 61111, Egypt ' Faculty of Computers and Information, Cairo University, 12613, Egypt

Abstract: Adrenaline hormone may effect on cholesterol and glucose levels in the human body which may cause different diseases such as stroke. On the other hand, numerous biomedical research relies on bioimpedance technique because it possesses a lot of features such as the ability to analyse the blood components to identify different diseases. Therefore, this study aims to measure the adrenaline level non-invasive based on bioimpedance technique using a new proposed sensor to measure the adrenaline, cholesterol and glucose levels. The proposed sensor has been interfaced and simulated by COMSOL MULTIPHYSICS 5.0, and the impedance was measured at different frequencies. Then the adrenaline, cholesterol and glucose values are computed using the equations. Finally, the obtained results from the simulator and the equations show that the proposed sensor would be a better choice for designing a real non-invasive medical Sensor.

Keywords: bioinformatics; healthcare; human emotion; IoT; stress; stroke; sensor; bioimpedance; non-invasive.

DOI: 10.1504/IJSNET.2020.104926

International Journal of Sensor Networks, 2020 Vol.32 No.2, pp.96 - 106

Received: 24 Aug 2019
Accepted: 28 Aug 2019
Published online: 06 Feb 2020 *

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