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Remote diagnostic and detection of coronavirus disease (COVID-19) system based on intelligent healthcare and internet of things

Authors
  • Elagan, S.K.1, 2
  • Abdelwahab, Sayed F.3, 4
  • Zanaty, E.A.5
  • Alkinani, Monagi H.6
  • Alotaibi, Hammad1
  • Zanaty, Mohammed E.A.7
  • 1 Department of Mathematics and Statistics, College of Science, Taif University, P.O.Box 11099, Taif 21944, Saudi Arabia
  • 2 Department of Mathematics, Faculty of Science,Menofiya University, Shebin Elkom 32511, Egypt
  • 3 aif University, P.O.Box 11099, Taif 21944, Saudi Arabia
  • 4 Department of Microbiology and Immunology, Faculty of Medicine, Minia University, Minia 61511, Egypt
  • 5 Computer Science Dept., Faculty of Computers and Information, Sohag University, Sohag, Egypt
  • 6 Computer Science and Artificial Intelligence Department, Faculty of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia
  • 7 Comuncations Dept., Faculty of Engineering, Sohag University, Sohag, Egypt
Type
Published Article
Journal
Results in Physics
Publisher
The Author(s). Published by Elsevier B.V.
Publication Date
Feb 12, 2021
Volume
22
Pages
103910–103910
Identifiers
DOI: 10.1016/j.rinp.2021.103910
PMID: 33614401
PMCID: PMC7879050
Source
PubMed Central
Keywords
Disciplines
  • Article
License
Unknown

Abstract

In this paper, we will propose a novel system for remote detecting COVID-19 patients based on artificial intelligence technology and internet of things (IoT) in order to stop the virus spreading at an early stage. In this work, we will focus on connecting several sensors to work together as a system that can discover people infected with the Coronavirus remotely, this will reduce the spread of the disease. The proposed system consists of several devices called smart medical sensors such as: pulse, thermal monitoring, and blood sensors . The system is working sequentially starting by pulse sensor and end by blood sensor including an algorithm to manage the data given from sensors. The pulse sensor is devoted to acquire a high quality data using a smartphone equipped by a mobile dermatoscope with 20× magnification. The processing is used RGB color system to perform moving window to segment regions of interest (ROIs) as inputs of the heart rate estimation algorithm. The heart rate (HR) estimation is then given by computing the dominant frequency by identifying the most prominent peak of the discrete Fourier transform (DFT) technique. The thermal monitoring is used for fever detection using a smart camera that can provide an optimum solution for fever detection. The infrared sensor can quickly measure surface temperature without making any contact with a person’s skin. A blood sensor is used to measure percentages of white, red blood (WBCs, RBCs) volume and platelets non-invasively using the bioimpedance analysis and independent component analysis (ICA). The proposed sensor consists of two electrodes which can be used to send the current to the earlobe and measure the produced voltage. A mathematical model was modified to describe the impedance of earlobe in different frequencies (i.e., low, medium, and high). The COMSOL model is used to simulate blood electrical properties and frequencies to measure WBCs, RBCs and Platelets volume. These devices are collected to work automatically without user interaction for remote checking the coronavirus patients. The proposed system is experimented by six examples to prove its applicability and efficiency.

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