Analysis of EEG Signals Recorded from Persons with Neuronal Alterations due to Covid-19 with Respect to the Cases Considered Normal

COVID-19 disease has caused a significant impact on the global health sector, due to its high rate of contagiousness, along with the repercussions that this disease has on the people who have suffered from it. Some types of sequels are often presented, among which stand out those affecting the nervous system. These have been detected due to the mental fog that some people present after their recovery, or when they present persistent symptoms, these can usually be analyzed by an electroencephalogram. In this work, we compare the electroencephalographic record of four persons affected by COVID-19 concerning records of this same type of people, considered with a normal signal. To be able to do this, it was necessary to elaborate an algorithm to recover the quantitative data of persons with alterations due to COVID-19, after which the analysis of this signal was performed together with normal cases. This analysis shows that the COVID-19 signal presents smaller values than variance, amplitude, zero crossings, and dominant frequency compared to normal cases.