A possible prognostic analysis of the biomechanical dynamics of SARS-CoV-2 using electrocardiogram

In studying SARS-CoV-2, we use the modeling strategy of assuming that the biological behaviour of the presence of the virus in the infected person (IP) can be physically described as the superposition of its characteristic wave on the characteristic wave of the healthy person (HP). We then propose that the Electrocardiogram (ECG) can be used as diagnostic tool since it provides the most clinically helpful information from the electrical signals of the characteristic wave of the heart in a cardiac cycle. For this study, 120 ECG strips of IPs with SARS-CoV-2 are examined and the following ECG parameters such as the QT interval, QRS duration, PR interval, heart rate, rhythm and the amplitude of P, Q, R and T waves were measured on lead II which is the normal direction of the signal flow as depolarized from the Sinu atria node. Attenuation of the vibration and varying abnormalities are observed in these parameters when compared with the standard ECG parameters of HP and the red line benchmark for the IPs delineated. It is observed from further analysis of the data that the myocardial injury is the signature of the effect of the SARS-CoV-2. Therefore, a biomechanical dynamics of the SARS-CoV-2 on the IP is that the virus decreases the blood flow in the cardiac cycle of the heart. This opens the possibility to strategize the possible cure to this deadly virus.