A Study of Time Domain Features of EEG Signal Analysis
A. Rajalakshmi, Dr.S.S. Sridhar · 2023
Electroencephalography is a non-invasive technique used to monitor brain activity and make a variety of neurological problems diagnoses.The electrical activity of the brain is measured using an EEG instrument, which converts chemical variations in the brain into voltage.With either the intracranial EEG method or the Scalp EEG approach, several electrodes are implanted at the right location on the brain to measure EEG signals.Analysis of electroencephalograms, or EEGs, has grown to be crucial for identifying many human disorders.The most crucial and straightforward step in processing EEG readings is using temporal frequency analysis to make a potential diagnosis.EEG signals are the important data for any type of analysis of brain activity.In this study, we first analysis the EEG signal characteristics that have been used in the literature for a variety of activities, then we concentrate on looking at EEG feature applications, and finally we talk about the potential and unresolved issues with EEG feature extraction.Everyone should assess the wide variety of EEG signal properties and their effects on BCI interfaces in order to improve the accuracy of different brain activity detection in the future.