Methodology for EEG and Reference Values of the Software Analysis

Abstract

BACKGROUND: EEG is a way of graphically recording the electrical potentials of the brain. The main parameters of the EEG are related to the ratios between the individual frequency components, their amplitude and characteristic waveforms. AIM: The aim of the study was to develop and describe a consistent and detailed methodology for the technical conduct of an EEG study, as well as to find the reference values of some of the most frequently derived average values of parameters from the software analysis of modern EEG equipment. TOOLKIT: The EEG office of the Medical Faculty at Trakia University is equipped with a multifunctional 31-channel digital EEG/EP device with a sampling frequency of 1000 Hz. METHODOLOGY: Unification of the technical implementation is necessary so that the results can be compared with the maximum cleared probability of statistical error due to controllable factors. The outlined sequential steps can serve any technical contributor. RESULTS: Electroencephalographic study of 100 clinically sound participants and determination of the reference values of the indicators. We have created a table with the mean values of the EEG Software Analysis. CONCLUSION: The frequency composition of the EEG signal includes four types of waves or rhythms: delta/0.5−3.5Hz/, theta/4−7.5Hz/, alpha/8−12Hz/,and beta/13−30Hz/. The amplitude of the EEG under physiological conditions ranges from 15 microvolts/low-amplitude/to 150 microvolts/high-amplitude/. Average limits are between 30 and 80 microvolts.