Intelligent Mobile Coronavirus Recognition Centre Based on IEEE 802.15.4

Abdulkareem Alzahrani,Samer Salah Thabit,Muzhir Shaban Al-Ani,Duaa Al_Dosary,Khattab M Ali Alheeti

doi:10.3991/ijim.v15i16.24193

Abstract

<p class="0abstract">The novel coronavirus (COVID-19) has become widespread around the world. It started in Wuhan, China, and has since spread rapidly among people living in other countries. Hence, the World Health Organization has considered COVID-19 as a pandemic that threatens millions of people’s lives. Due to the high number of infected people, many hospitals have been facing critical issues in providing the required medical services. For instance, some clinical centers have been unable to provide one of the most important medical services, namely blood tests to determine whether an individual is infected with COVID-19. Therefore, it is important to present an alternative diagnosis option to prevent the further spread of COVID-19. In this paper, a proposed intelligent detection communication system (IDCS) is configured for distributed mobile clinical centers to control the pandemic. In addition, the intelligent system is integrated with the Zigbee communication protocol to build a mobile COVID-19 detection system. The proposed system was trained on X-ray COVID-19 lung images used to identify infected people. The Zigbee protocol and decision tree algorithm were used to design the IDCS. The results of the proposed system show high accuracy 94.69% and accept results according to the performance measurements.</p>

Highlights

The novel coronavirus (COVID-19) is a new strain of the coronavirus family first recorded in December 2019 in Wuhan, a large city in China
The intelligent detection system proposed in this paper was implemented in Python
The Zigbee communication system integrated with the detection system is configured with ns-2

Summary

Introduction

The novel coronavirus (COVID-19) (shown in Figure 1) is a new strain of the coronavirus family first recorded in December 2019 in Wuhan, a large city in China. COVID-19 is one of a large group of viruses that can cause critical diseases (e.g. Middle East Respiratory Syndrome (MERS) and Severe Acute Respiratory Syndrome (SARS)) or common cold cases [1] [2]. A large amount of COVID-19–related data can be generated within a few minutes, as the COVID-19 pandemic is happening in a highly connected and digitized world [4]. Artificial intelligence (AI) has shown great potential in predicting or tracing the source of infectious diseases. It is essential to exploit the capabilities of AI and big data in the healthcare field [5]

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