A Review Paper on Speech Processing for the Identification of Brain Disorders in Post-COVID Patients

Abstract

Millions of people around the world have been impacted by the COVID-19 pandemic, and many of them continue to experience symptoms even after they have recovered. The effect of COVID-19 on the brain, which can lead to a number of neurological conditions and illnesses, is one area of worry. Acute disseminated encephalomyelitis (ADEM), encephalitis, exhaustion, seizures, mental issues, and speech impairments are a few of these conditions. One non- invasive method for diagnosing and tracking brain problems is electroencephalography (EEG). In order to identify these issues in patients who have recovered from COVID-19, we evaluate recent studies on the use of speech processing and electroencephalography (EEG) signal analysis. The COVID-19 epidemic has affected millions of people worldwide, and many of them maintain symptoms long after they have healed. One area of concern is the impact of COVID-19 on the brain, which can result in various neurological disorders and diseases. These diseases include encephalitis, fatigue, seizures, mental problems, speech impairments, and acute disseminated encephalomyelitis (ADEM). Electroencephalography is one non-invasive technique for identifying and monitoring brain issues (EEG). We review recent research on the application of electroencephalography (EEG) signal analysis and speech processing to detect these problems in patients who have recovered from COVID-19.