Application of different electroencephalograms in the diagnosis of neurological diseases

Abstract

This research will explore the differences between three different types of electroencephalogram (EEG), conventional EEG, dynamic EEG, and video EEG, as well as the advantages and disadvantages of each. This research will explore the application of three different types of EEG in these different neurological diseases. This research will analyze the symptoms, causes, and causes of epilepsy, Parkinson’s disease, central nervous system infection, and other diseases. This research also used bioinformatics methods to evaluate the diagnostic results of different types of EEG. In the diagnosis and treatment of epilepsy, long-term detection of dynamic EEG can have a more accurate clinical diagnosis rate. In the diagnosis and treatment of central nervous system infection, video EEG can record and playback the patient’s onset behavior. Higher timeliness and accuracy can also reduce misdiagnosis and missed diagnosis to a certain extent; in the diagnosis and treatment of Parkinson’s disease, through EEG monitoring, the diagnosis and treatment effects of early patients can be improved.