Abstract
Coronavirus (COVID-19) started at the end of 2019 and then spread out around the world as a pandemic at the beginning of 2020. At that time, researchers began to work on detecting and diagnosing this virus, where many methods have been applied for this reason. This study focuses on how to diagnose coronavirus through patients’ cough. Accordingly, real samples were taken from people infected by the coronavirus and others, who are suffering from some respiratory diseases. The cough of a person with coronavirus is characterized by its dryness and differs from other cough sounds through a set of factors that are considered for study and analysis through this study. Among these factors is the sound energy, which is found to be the most effective factor and hence implemented as a key indicator for COVID-19 detection. The discrete wavelet transform is the adopted method to realize the detection process via approximation and the analysis of coefficients details. The obtained results show acceptable detection accuracy for the considered samples. Minor mismatching in the detection process is noticed during the procedure, which is mainly due to some patients being infected with the respiratory diseases that exhibit similar symptoms.
Highlights
Due to the rapid spread from one individual to another in the society, the new coronavirus has resulted in a global prevalent problem, where the World Health Organization (WHO) on January 30, 2020 declared this disease as an epidemic
Two groups of patients are included; COVID-19 patients’ group and Non-COVID-19 patients’ group
The implementation of the proposed approach to detect and diagnose the COVID-19 disease based on the analysis of cough sound passes into many steps starting from preprocessing and ending with decision making to classify them as negative and positive cases
Summary
Due to the rapid spread from one individual to another in the society, the new coronavirus ( called COVID-19) has resulted in a global prevalent problem, where the World Health Organization (WHO) on January 30, 2020 declared this disease as an epidemic. The common presenting symptoms are fever, chills, cough, fatigue, myalgia, anorexia and dyspnea (Wang et al, 2020). These may be accompanied by respiratory secretions, hemoptysis, diarrhea and headache. Different primary technologies are used to test for COVID‐19 infection, in addition to new technologies that have the potential to accelerate the coronavirus detection and diagnosis, including digital PCR, CRISPR and microarray (Xu et al, 2020). Coughing, which is the early recognizable symptom of COVID-19, is basically a sound that can be represented as an audio signal and studied to help in the diagnosis process.
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